Triple
T1862825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerala |
E34853
|
entity |
| Predicate | hasHillStation |
P24292
|
FINISHED |
| Object |
Munnar
Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
|
E213045
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Munnar | Statement: [Kerala, hasHillStation, Munnar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munnar Context triple: [Kerala, hasHillStation, Munnar]
-
A.
Coonoor
Coonoor is a scenic hill station in the Nilgiri Hills of Tamil Nadu, India, known for its tea plantations, cool climate, and colonial-era charm.
-
B.
Ooty
Ooty is a popular hill station in the Nilgiri Hills of southern India, known for its cool climate, tea plantations, and scenic mountain landscapes.
-
C.
Alappuzha
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
D.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
E.
Wayanad
Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Munnar Triple: [Kerala, hasHillStation, Munnar]
Generated description
Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Munnar Target entity description: Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
-
A.
Coonoor
Coonoor is a scenic hill station in the Nilgiri Hills of Tamil Nadu, India, known for its tea plantations, cool climate, and colonial-era charm.
-
B.
Ooty
Ooty is a popular hill station in the Nilgiri Hills of southern India, known for its cool climate, tea plantations, and scenic mountain landscapes.
-
C.
Alappuzha
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
D.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
E.
Wayanad
Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHillStation Context triple: [Kerala, hasHillStation, Munnar]
-
A.
nearbyHillStation
Indicates that one location is a hill station situated close to another specified place.
-
B.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
C.
containsHill
chosen
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
D.
hasSkiResortNearby
Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
-
E.
hasMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaddc9188190bd49d6605fd0e812 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb5118608190be99a12b7f6b97c5 |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec25a87081908f098df81de6eafb |
completed | March 8, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.