Triple

T20142319
Position Surface form Disambiguated ID Type / Status
Subject Governor Yale E491205 entity
Predicate workLocation P7 FINISHED
Object Madras NE NERFINISHED

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: Madras | Statement: [Governor Yale, workLocation, Madras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madras
Context triple: [Governor Yale, workLocation, Madras]
  • A. 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.
  • B. Madras
    Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
  • C. Vellore
    Vellore is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban housing, schools, and community amenities.
  • D. Vellore
    Vellore is a historic city in southern India known for its fort, educational and medical institutions, and location along the Palar River in the state of Tamil Nadu.
  • E. Madras, India chosen
    Madras, India—now known as Chennai—is a major coastal metropolis in South India and the capital of the state of Tamil Nadu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679bcf2c8190ac6e969178d8acde completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.