Triple

T22523236
Position Surface form Disambiguated ID Type / Status
Subject St. Thomas Mount, Chennai E556831 entity
Predicate overlooks P1323 FINISHED
Object Chennai city 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: Chennai city | Statement: [St. Thomas Mount, Chennai, overlooks, Chennai city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chennai city
Context triple: [St. Thomas Mount, Chennai, overlooks, Chennai city]
  • 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. Koti Chennaya
    Koti Chennaya is a Tulu-language historical film that portrays the legendary twin folk heroes Koti and Chennaya, who are celebrated figures in the coastal Karnataka region’s cultural and oral traditions.
  • 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. 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.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e338dfc819082e1eeede3805fb9 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.