Triple

T3060943
Position Surface form Disambiguated ID Type / Status
Subject IOM Headquarters, Geneva, Switzerland E61993 entity
Predicate nearbyCity P350 FINISHED
Object Carouge E68492 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: Carouge | Statement: [IOM Headquarters, Geneva, Switzerland, nearbyCity, Carouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carouge
Context triple: [IOM Headquarters, Geneva, Switzerland, nearbyCity, Carouge]
  • A. Carouge chosen
    Carouge is a municipality in southwestern Switzerland known for its historic Sardinian-style old town and vibrant cultural scene, located just south of the city of Geneva.
  • B. Yverdon-les-Bains
    Yverdon-les-Bains is a historic spa town in western Switzerland known for its thermal baths, medieval castle, and location at the southern end of Lake Neuchâtel.
  • C. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • D. Aubonne
    Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
  • E. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9e1e248190b5ed5ebcdad1321e completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f0f4088190ba66d5e3c6642c9a completed March 21, 2026, 5:44 p.m.
Created at: March 8, 2026, 3:02 p.m.