Triple

T13104443
Position Surface form Disambiguated ID Type / Status
Subject Place de Clichy E310806 entity
Predicate hasNearbyQuarter P108082 FINISHED
Object Pigalle E269904 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: Pigalle | Statement: [Place de Clichy, hasNearbyQuarter, Pigalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pigalle
Context triple: [Place de Clichy, hasNearbyQuarter, Pigalle]
  • A. Pigalle chosen
    Pigalle is a lively Parisian neighborhood known for its nightlife, cabarets, and proximity to Montmartre and the Moulin Rouge.
  • B. Renault–Gitane
    Renault–Gitane was a dominant French professional cycling team of the late 1970s and early 1980s, known for nurturing multiple Grand Tour champions and pioneering modern team tactics.
  • C. Monco
    Monco is the laconic bounty hunter portrayed by Clint Eastwood in Sergio Leone’s Spaghetti Western "For a Few Dollars More."
  • D. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • E. Lison
    Lison is a small commune in the Calvados department of Normandy in northwestern France.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e277b89c8190a0d895eb46836525 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.