Triple

T14669162
Position Surface form Disambiguated ID Type / Status
Subject Chengalpattu district E344461 entity
Predicate hasHeadquarters P62 FINISHED
Object Chengalpattu E1120393 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: Chengalpattu | Statement: [Chengalpattu district, hasHeadquarters, Chengalpattu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chengalpattu
Context triple: [Chengalpattu district, hasHeadquarters, Chengalpattu]
  • A. Chengalpattu chosen
    Chengalpattu is a town and administrative center in the Indian state of Tamil Nadu, located southwest of Chennai and known as a growing suburban and industrial hub.
  • B. Pattukkottai
    Pattukkottai is a town in the Thanjavur district of Tamil Nadu, India, known for its agricultural economy and role as a regional commercial center.
  • C. Pudukkottai
    Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
  • D. Perambalur
    Perambalur is a town and district headquarters in the Indian state of Tamil Nadu, known for its agricultural economy and historical temples.
  • E. Villupuram
    Villupuram is a major town and transport hub in the Indian state of Tamil Nadu, known for its important railway junction linking routes across the region.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd1de868819084d71f75210d14f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 1:27 a.m.