Triple
T13998704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adyar |
E336767
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Kotturpuram |
E344470
|
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: Kotturpuram | Statement: [Adyar, hasNeighbourhood, Kotturpuram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotturpuram Context triple: [Adyar, hasNeighbourhood, Kotturpuram]
-
A.
Kotturpuram
chosen
Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
-
B.
Pudukkottai
Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
-
C.
Pattukkottai
Pattukkottai is a town in the Thanjavur district of Tamil Nadu, India, known for its agricultural economy and role as a regional commercial center.
-
D.
Sriperumbathur
Sriperumbathur is a town in the Kanchipuram district of Tamil Nadu, India, known as the birthplace of the philosopher-saint Ramanuja and for its industrial and automotive manufacturing hubs.
-
E.
Villupuram
Villupuram is a major town and transport hub in the Indian state of Tamil Nadu, known for its important railway junction linking routes across the region.
- 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_69fdd5b98d6881908c0efd086a973af2 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 9, 2026, 10:19 p.m.