Triple

T9433337
Position Surface form Disambiguated ID Type / Status
Subject Labourd E227438 entity
Predicate contains P35 FINISHED
Object Bayonne E41714 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: Bayonne | Statement: [Labourd, contains, Bayonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayonne
Context triple: [Labourd, contains, Bayonne]
  • A. Bayonne chosen
    Bayonne is a historic city in southwestern France near the Atlantic coast, known for its Basque culture, chocolate-making tradition, and annual festivals.
  • B. Bayonne, New Jersey
    Bayonne, New Jersey is an industrial and residential city in Hudson County located on a peninsula between Newark Bay, the Kill Van Kull, and Upper New York Bay, just south of Jersey City.
  • C. Jersey City
    Jersey City is a major New Jersey city across the Hudson River from Lower Manhattan, known for its waterfront skyline, diverse communities, and role as a key financial and transportation hub in the New York metropolitan area.
  • D. Hoboken
    Hoboken is a small New Jersey city across the Hudson River from Manhattan, known for its waterfront views, historic brownstones, and vibrant dining and nightlife scene.
  • E. Hoboken
    Hoboken is a district of the Belgian city of Antwerp, known for its residential character and industrial areas along the Scheldt River.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e61a114819081fc4a2ad39c96ba completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104514d481908d7cb9a87a01f1e2 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.