Triple

T13998694
Position Surface form Disambiguated ID Type / Status
Subject Adyar E336767 entity
Predicate locatedIn P40 FINISHED
Object South Chennai E236252 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: South Chennai | Statement: [Adyar, locatedIn, South Chennai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Chennai
Context triple: [Adyar, locatedIn, South Chennai]
  • A. North Chennai
    North Chennai is a historically industrial and densely populated northern sector of Chennai known for its ports, manufacturing hubs, and working-class neighborhoods.
  • B. Chennai South
    Chennai South is a prominent Lok Sabha parliamentary constituency in Chennai, Tamil Nadu, known for its urban, coastal neighborhoods and significant political influence.
  • C. 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.
  • 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. South Chennai coastal belt chosen
    The South Chennai coastal belt is a seaside urban stretch in southern Chennai known for its beaches, promenades, and key transport and recreational corridors along the Bay of Bengal.
  • 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_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:19 p.m.