Triple

T15425892
Position Surface form Disambiguated ID Type / Status
Subject Kamarajar Port E369507 entity
Predicate locatedIn P40 FINISHED
Object Ennore E369507 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: Ennore | Statement: [Kamarajar Port, locatedIn, Ennore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ennore
Context triple: [Kamarajar Port, locatedIn, Ennore]
  • A. Ennore chosen
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • B. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • C. Hvidovre
    Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
  • D. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • E. Rødovre
    Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb593258081909dcaf2b37fd28e63 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 3:20 a.m.