Triple

T7123541
Position Surface form Disambiguated ID Type / Status
Subject St. Mary’s Church, Fort St. George E166002 entity
Predicate locatedIn P40 FINISHED
Object Chennai E12324 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: Chennai | Statement: [St. Mary’s Church, Fort St. George, locatedIn, Chennai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chennai
Context triple: [St. Mary’s Church, Fort St. George, locatedIn, Chennai]
  • A. Chennai chosen
    Chennai is a major coastal metropolis in southern India, serving as the capital of Tamil Nadu and a key cultural, economic, and automotive hub.
  • B. Tiruchirappalli
    Tiruchirappalli is a major city in the Indian state of Tamil Nadu, known for its historic temples, educational institutions, and strategic location along the Kaveri River.
  • 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. Coimbatore
    Coimbatore is a major industrial and educational city in the Indian state of Tamil Nadu, known especially for its textile, engineering, and manufacturing industries.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64ab1f881908bc2468cc72d2544 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf7c0bb88190ac03e2279512d837 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:44 p.m.