Triple

T13998384
Position Surface form Disambiguated ID Type / Status
Subject Beach railway station, Chennai E336759 entity
Predicate locatedNear P294 FINISHED
Object George Town, Chennai E1079102 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: George Town, Chennai | Statement: [Beach railway station, Chennai, locatedNear, George Town, Chennai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Town, Chennai
Context triple: [Beach railway station, Chennai, locatedNear, George Town, Chennai]
  • A. George Town, Chennai chosen
    George Town, Chennai is a historic commercial and administrative neighborhood in Chennai, India, known as one of the city’s oldest business districts.
  • B. 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.
  • C. Madras
    Madras is a small city in central Oregon known as an agricultural hub and gateway to outdoor recreation in the surrounding high desert region.
  • D. Madras
    Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
  • E. Thiruvanmiyur
    Thiruvanmiyur is a coastal neighborhood in south Chennai, India, known for its residential areas, IT hubs, and proximity to major educational and research institutions.
  • 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_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd192ee1ac81908663ebd2e06784f1 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:19 p.m.