Triple

T18403693
Position Surface form Disambiguated ID Type / Status
Subject Étang de l’Or E450062 entity
Predicate locatedNear P294 FINISHED
Object La Grande-Motte NE NERFINISHED

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: La Grande-Motte | Statement: [Étang de l’Or, locatedNear, La Grande-Motte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Grande-Motte
Context triple: [Étang de l’Or, locatedNear, La Grande-Motte]
  • A. La Grande-Motte chosen
    La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
  • B. Sète
    Sète is a coastal port city in southern France known for its canals, fishing industry, and vibrant maritime culture on the Mediterranean Sea.
  • C. La Ciotat
    La Ciotat is a coastal town on the Mediterranean in southern France, known for its historic shipyards and as one of the birthplaces of early cinema through the Lumière brothers’ pioneering films.
  • D. Leucate
    Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
  • E. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195509cc8190bd4e91adb9b4a0ce completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.