Triple

T641068
Position Surface form Disambiguated ID Type / Status
Subject Haute-Savoie E16739 entity
Predicate containsCity P294 FINISHED
Object Annemasse E93133 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: Annemasse | Statement: [Haute-Savoie, containsCity, Annemasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annemasse
Context triple: [Haute-Savoie, containsCity, Annemasse]
  • A. Annemasse chosen
    Annemasse is a French town in the Haute-Savoie department near the Swiss border, functioning as a key commuter suburb of Geneva and a regional transport hub.
  • B. Mondorf-les-Bains
    Mondorf-les-Bains is a spa town in southeastern Luxembourg renowned for its thermal baths, wellness facilities, and casino.
  • C. Haguenau
    Haguenau is a historic town in northeastern France’s Alsace region, known for its medieval heritage, cultural traditions, and role as a local economic center.
  • D. Cartigny
    Cartigny is a small rural municipality in western Switzerland known for its agricultural landscape and location within the canton of Geneva.
  • E. Bütgenbach
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f0189b08190a584b744f36fa761 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ccab5bc819099c0f060147c8f27 completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:36 p.m.