Triple
T731470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pune |
E14838
|
entity |
| Predicate | nearbyHillStation |
P19493
|
FINISHED |
| Object |
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
|
E92515
|
NE FINISHED |
How this triple was built (4 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: Khandala | Statement: [Pune, nearbyHillStation, Khandala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khandala Context triple: [Pune, nearbyHillStation, Khandala]
-
A.
Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
-
B.
Jaitpur
Jaitpur was a princely state in central India that was incorporated into British-controlled territory in the 19th century under the controversial Doctrine of Lapse policy.
-
C.
Junagadh
Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
- 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: Khandala Triple: [Pune, nearbyHillStation, Khandala]
Generated description
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khandala Target entity description: Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
A.
Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
-
B.
Jaitpur
Jaitpur was a princely state in central India that was incorporated into British-controlled territory in the 19th century under the controversial Doctrine of Lapse policy.
-
C.
Junagadh
Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
- F. None of above. chosen
Provenance (5 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9ba3888190889a1ad554f73c5e |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d936bbc81908708ee5d0fc82100 |
completed | March 3, 2026, 5:11 a.m. |
| NEDg | Description generation | batch_69a66e0cec4c8190a2c5b0e46d409686 |
completed | March 3, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a671cc69308190b711849a537e4a99 |
completed | March 3, 2026, 5:29 a.m. |
Created at: March 1, 2026, 7:37 p.m.