Triple

T13834468
Position Surface form Disambiguated ID Type / Status
Subject Casino 2000 E332488 entity
Predicate locatedIn P40 FINISHED
Object Mondorf-les-Bains E65503 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: Mondorf-les-Bains | Statement: [Casino 2000, locatedIn, Mondorf-les-Bains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mondorf-les-Bains
Context triple: [Casino 2000, locatedIn, Mondorf-les-Bains]
  • A. Mondorf-les-Bains chosen
    Mondorf-les-Bains is a spa town in southeastern Luxembourg renowned for its thermal baths, wellness facilities, and casino.
  • B. Obernai
    Obernai is a historic Alsatian town in northeastern France known for its well-preserved medieval architecture, wine production, and picturesque setting along the Alsace Wine Route.
  • C. Eguisheim
    Eguisheim is a picturesque medieval wine-producing village in northeastern France, renowned for its concentric cobblestone streets, half-timbered houses, and role in the Alsace wine route.
  • D. Pont-à-Mousson
    Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
  • E. Sarreguemines
    Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029a34bc8190ae892ef7b09fc9e9 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f748d481909661deb151da34c1 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 10:13 p.m.