Triple

T2958057
Position Surface form Disambiguated ID Type / Status
Subject Gironde department E79979 entity
Predicate contains P35 FINISHED
Object Arcachon E235102 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: Arcachon | Statement: [Gironde department, contains, Arcachon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcachon
Context triple: [Gironde department, contains, Arcachon]
  • A. Arcachon chosen
    Arcachon is a seaside resort town on France’s Atlantic coast, famed for its oyster farming, beaches, and proximity to the Dune of Pilat.
  • B. Boussay
    Boussay is a small French commune best known as the birthplace of General Jacques-François Menou, a prominent military figure of the French Revolutionary era.
  • C. Golfe-Juan
    Golfe-Juan is a seaside district on the French Riviera, known for its beaches and marina on the Mediterranean coast.
  • D. Quiberon Bay
    Quiberon Bay is a large bay off the southern coast of Brittany in western France, known historically as the site of major naval engagements.
  • E. Le Beausset
    Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e229afc8190ae634dbfb3ac4313 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:57 p.m.