Triple

T3141408
Position Surface form Disambiguated ID Type / Status
Subject Tremblay-en-France E65652 entity
Predicate hasDemonym P191 FINISHED
Object Tremblaysienne E332676 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: Tremblaysienne | Statement: [Tremblay-en-France, hasDemonym, Tremblaysienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tremblaysienne
Context triple: [Tremblay-en-France, hasDemonym, Tremblaysienne]
  • A. Tremblaysien chosen
    Tremblaysien is the French demonym for a resident or native of the commune of Tremblay-en-France in the Île-de-France region.
  • B. Valcartier
    Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
  • C. Villeneuve
    Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
  • D. Choulex
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • E. Sillery
    Sillery is a renowned Grand Cru wine-producing village in France’s Champagne region, noted especially for its high-quality Pinot Noir and Chardonnay grapes.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b6685c8190b88501d7b2ad0d25 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.