Triple

T7426794
Position Surface form Disambiguated ID Type / Status
Subject CO Les Ulis E171387 entity
Predicate basedIn P40 FINISHED
Object Les Ulis E258282 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: Les Ulis | Statement: [CO Les Ulis, basedIn, Les Ulis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Ulis
Context triple: [CO Les Ulis, basedIn, Les Ulis]
  • A. Les Ulis chosen
    Les Ulis is a suburban commune in the southern outskirts of Paris, France, known for its planned urban layout and residential neighborhoods.
  • B. Les Milles
    Les Milles is a French historical drama film centered on World War II-era events at an internment camp in southern France.
  • C. Les Parisiens
    Les Parisiens is the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
  • D. Les Arcs
    Les Arcs is a major French ski resort in the Alps, renowned for its extensive slopes, modern purpose-built villages, and access to the Paradiski ski area.
  • E. Micul Paris
    Micul Paris is a Romanian nickname affectionately used for Bucharest, highlighting its historical elegance and Parisian-style architecture.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3055b7881908269ab909c5a85b5 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f09787c819090b8be24070a7105 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.