Triple

T13804073
Position Surface form Disambiguated ID Type / Status
Subject Western Tamil Nadu E331716 entity
Predicate hasMajorCity P316 FINISHED
Object Pollachi E618082 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: Pollachi | Statement: [Western Tamil Nadu, hasMajorCity, Pollachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pollachi
Context triple: [Western Tamil Nadu, hasMajorCity, Pollachi]
  • A. Pollachi chosen
    Pollachi is a town in the Coimbatore district of Tamil Nadu, India, known for its agriculture, markets, and proximity to scenic hill stations.
  • B. Mulchén
    Mulchén is a Chilean city located in the Biobío Region, known historically for its forestry-based economy and role in the country’s south-central development.
  • C. Ischl
    The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
  • D. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • E. Planegg
    Planegg is a municipality in the district of Munich in Bavaria, Germany, known for its scenic location along the Würm River and its proximity to the city of Munich.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.