Triple
T13998702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adyar |
E336767
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Besant Nagar |
E359200
|
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: Besant Nagar | Statement: [Adyar, hasNeighbourhood, Besant Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Besant Nagar Context triple: [Adyar, hasNeighbourhood, Besant Nagar]
-
A.
Besant Nagar
chosen
Besant Nagar is a coastal residential neighborhood in Chennai, India, known for its popular beachfront, eateries, and vibrant social and religious landmarks.
-
B.
Netaji Nagar
Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
C.
Gandhi Nagar
Gandhi Nagar is a residential and commercial neighborhood in East Delhi, India, known for its large textile and garment market.
-
D.
Tilak Nagar
Tilak Nagar is a prominent residential and commercial neighborhood in West Delhi, India, known for its bustling markets and dense urban character.
-
E.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb81b208190a961e49a02fa4140 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9f1f6c8190af7ddac920661bd5 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.