Triple
T9743602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triplicane |
E236250
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Mylapore |
E346266
|
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: Mylapore | Statement: [Triplicane, adjacentTo, Mylapore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mylapore Context triple: [Triplicane, adjacentTo, Mylapore]
-
A.
Mylapore
chosen
Mylapore is a historic neighborhood in Chennai, India, known for its ancient temples, cultural heritage, and traditional South Indian character.
-
B.
Kodambakkam
Kodambakkam is a prominent neighborhood in Chennai, India, best known as the historic heart of the Tamil film industry and home to many of its major studios and production houses.
-
C.
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.
-
D.
Tambaram
Tambaram is a suburban area of Chennai in Tamil Nadu, India, known as an important residential, educational, and transport hub.
-
E.
Nungambakkam
Nungambakkam is a prominent residential and commercial neighborhood in central Chennai, India, known for its educational institutions, shopping areas, and cultural landmarks.
- 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_69d1affb761881908dde9a4f028c32f6 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.