Triple
T1569518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil Nadu |
E33506
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
|
E180293
|
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: Kodaikanal | Statement: [Tamil Nadu, contains, Kodaikanal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodaikanal Context triple: [Tamil Nadu, contains, Kodaikanal]
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Swamimalai
Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
-
C.
Suvarnagiri
Suvarnagiri was a prominent administrative and mining center in southern India during the Maurya Empire, likely serving as a regional capital under Emperor Ashoka.
-
D.
Skandagiri
Skandagiri is a sacred hill associated with the Hindu god Kartikeya, revered as one of his principal holy sites and pilgrimage destinations.
-
E.
Palani
Palani is a major Hindu pilgrimage town in Tamil Nadu, India, renowned for its hilltop temple dedicated to the god Kartikeya (Murugan).
- 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: Kodaikanal Triple: [Tamil Nadu, contains, Kodaikanal]
Generated description
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodaikanal Target entity description: Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Swamimalai
Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
-
C.
Suvarnagiri
Suvarnagiri was a prominent administrative and mining center in southern India during the Maurya Empire, likely serving as a regional capital under Emperor Ashoka.
-
D.
Skandagiri
Skandagiri is a sacred hill associated with the Hindu god Kartikeya, revered as one of his principal holy sites and pilgrimage destinations.
-
E.
Palani
Palani is a major Hindu pilgrimage town in Tamil Nadu, India, renowned for its hilltop temple dedicated to the god Kartikeya (Murugan).
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908b67304819081ad555000e51197 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad469474c88190b80d6d7a30c9e19d |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad470069f08190b886041d1a1c7707 |
completed | March 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad475d9528819086546aae6db74e19 |
completed | March 8, 2026, 9:54 a.m. |
Created at: March 4, 2026, 7:27 p.m.