Triple

T14542166
Position Surface form Disambiguated ID Type / Status
Subject Vandalur railway station E341195 entity
Predicate locatedIn P40 FINISHED
Object Vandalur E337992 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: Vandalur | Statement: [Vandalur railway station, locatedIn, Vandalur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vandalur
Context triple: [Vandalur railway station, locatedIn, Vandalur]
  • A. Vandalur chosen
    Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
  • B. Guindy
    Guindy is a prominent neighborhood in Chennai, India, known for its major educational institutions, industrial estates, and the Guindy National Park.
  • C. Vadapalani
    Vadapalani is a bustling residential and commercial neighborhood in Chennai, India, known for its famous Murugan Temple and proximity to major film and television studios.
  • 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. Kodambakkam
    Kodambakkam is a prominent neighborhood in Chennai, India, best known as the historic heart of the Tamil film industry and home to many of its major studios and production houses.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1be5a8081909bf727e28a5bba4a completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5eb85c8190a0c1696b63ddf8e1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.