Triple

T15797583
Position Surface form Disambiguated ID Type / Status
Subject Javel factory E383020 entity
Predicate locatedInDistrict P40 FINISHED
Object Javel district E206229 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: Javel district | Statement: [Javel factory, locatedInDistrict, Javel district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javel district
Context triple: [Javel factory, locatedInDistrict, Javel district]
  • A. Javel district chosen
    Javel district is a neighborhood in southwestern Paris known historically for its industrial past and riverside location along the Seine.
  • B. Omate District
    Omate District is an administrative district located within Peru's southern Andean region, known for its rural communities and highland landscapes.
  • C. Damous District
    Damous District is an administrative district in northern Algeria, located within Tipaza Province along the Mediterranean coast.
  • D. Hanang District
    Hanang District is an administrative district in northern Tanzania known for its agricultural communities and the prominent Mount Hanang.
  • E. Tinta District
    Tinta District is an administrative district in Peru’s Cusco Region, located within Canchis Province and known for its Andean highland geography and traditional Quechua-speaking communities.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.