Triple

T3228900
Position Surface form Disambiguated ID Type / Status
Subject Chennai Egmore railway station E67688 entity
Predicate locatedInNeighbourhood P40 FINISHED
Object Egmore E336211 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: Egmore | Statement: [Chennai Egmore railway station, locatedInNeighbourhood, Egmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egmore
Context triple: [Chennai Egmore railway station, locatedInNeighbourhood, Egmore]
  • A. Egmore chosen
    Egmore is a prominent neighborhood in central Chennai, India, known as a major cultural, commercial, and transportation hub of the city.
  • B. Zaman Town
    Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
  • C. Shortlands
    Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
  • D. Orangi Town
    Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
  • E. Gregory Town
    Gregory Town is a small coastal community on the Bahamian island of Eleuthera, known for its pineapple farming heritage and scenic beaches.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb6f8588190a33a9d6c779e8992 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262675b588190bcff98e7fa3a0c77 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.