Triple

T3264569
Position Surface form Disambiguated ID Type / Status
Subject Carouge E68492 entity
Predicate adjacentTo P224 FINISHED
Object Troinex E300690 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: Troinex | Statement: [Carouge, adjacentTo, Troinex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troinex
Context triple: [Carouge, adjacentTo, Troinex]
  • A. Troinex chosen
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. TREX
    TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
  • C. Trizone
    Trizone was the informal name for the combined American, British, and French occupation zones in post-World War II Germany that later formed the Federal Republic of Germany (West Germany).
  • D. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • E. Trique
    Trique is an indigenous Mesoamerican language spoken in Oaxaca, Mexico, known for its complex tonal system and belonging to the Oto-Manguean language family.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcb2da08190a7f4fefdfe6d0098 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.