Triple

T929889
Position Surface form Disambiguated ID Type / Status
Subject Services Industriels de Genève E20065 entity
Predicate hasAbbreviation P43 FINISHED
Object SIG E110106 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: SIG | Statement: [Services Industriels de Genève, hasAbbreviation, SIG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIG
Context triple: [Services Industriels de Genève, hasAbbreviation, SIG]
  • A. SIG
    SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
  • B. SIG chosen
    SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
  • C. Sigd
    Sigd is a Jewish holiday of Ethiopian origin that combines fasting, prayer, and communal celebration to reaffirm the covenant with God and the longing for Jerusalem.
  • D. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • E. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b349b3d0819090c58b4fb60c6a1b completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826dc111881908f4e2a0914eb2202 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.