Triple
T9743653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chepauk |
E236251
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Chepauk locality |
E236251
|
NE FINISHED |
How this triple was built (2 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: Chepauk locality | Statement: [Chepauk, alsoKnownAs, Chepauk locality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chepauk locality Context triple: [Chepauk, alsoKnownAs, Chepauk locality]
-
A.
Chepauk
chosen
Chepauk is a coastal neighborhood in central Chennai, India, known for the historic M. A. Chidambaram cricket stadium and its proximity to Marina Beach.
-
B.
Vadapalani
Vadapalani is a bustling residential and commercial neighborhood in Chennai, India, known for its famous Murugan Temple and proximity to major film and television studios.
-
C.
Mylapore
Mylapore is a historic neighborhood in Chennai, India, known for its ancient temples, cultural heritage, and traditional South Indian character.
-
D.
Nungambakkam
Nungambakkam is a prominent residential and commercial neighborhood in central Chennai, India, known for its educational institutions, shopping areas, and cultural landmarks.
-
E.
T. Nagar
T. Nagar is a major commercial and residential neighborhood in Chennai, India, best known as one of the city’s busiest shopping districts for textiles and jewelry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2e5bb081908047e3bf5fe3991c |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bccf62e08190ae799ee557ad1f1b |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:23 p.m.