Triple

T11372788
Position Surface form Disambiguated ID Type / Status
Subject Provence E269383 entity
Predicate majorCity P316 FINISHED
Object Toulon E83956 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: Toulon | Statement: [Provence, majorCity, Toulon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toulon
Context triple: [Provence, majorCity, Toulon]
  • A. Toulon chosen
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • B. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • C. Toulouse
    "Toulouse" is a popular 2011 electro house track by Dutch DJ and producer Nicky Romero that helped establish his international reputation in the EDM scene.
  • D. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • E. Marseille
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b7aff4c8190ba879e6c5632bb97 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:33 p.m.