Triple
T9743631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chepauk |
E236251
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Greater Chennai |
E66968
|
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: Greater Chennai | Statement: [Chepauk, partOf, Greater Chennai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greater Chennai Context triple: [Chepauk, partOf, Greater Chennai]
-
A.
Chennai
Chennai is a major coastal metropolis in southern India, serving as the capital of Tamil Nadu and a key cultural, economic, and automotive hub.
-
B.
Coimbatore
Coimbatore is a major industrial and educational city in the Indian state of Tamil Nadu, known especially for its textile, engineering, and manufacturing industries.
-
C.
Tambaram
Tambaram is a suburban area of Chennai in Tamil Nadu, India, known as an important residential, educational, and transport hub.
-
D.
Greater Chennai Corporation
chosen
The Greater Chennai Corporation is the civic governing body responsible for municipal administration and urban infrastructure in the city of Chennai, India.
-
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_69d1eabcf3148190b25e4f816f4dcd13 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:23 p.m.