Triple

T5933540
Position Surface form Disambiguated ID Type / Status
Subject Vinci E131991 entity
Predicate hasSubsidiary P254 FINISHED
Object ASF E244510 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: ASF | Statement: [Vinci, hasSubsidiary, ASF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASF
Context triple: [Vinci, hasSubsidiary, ASF]
  • A. ASF
    ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
  • B. ASF chosen
    ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
  • C. ASF
    ASF is a major professional regional theatre company in Montgomery, Alabama, renowned for its productions of Shakespearean and contemporary plays.
  • D. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • E. ADF
    ADF (Allied Democratic Forces) is an Islamist rebel group originally from Uganda that operates primarily in eastern Democratic Republic of the Congo and is known for violent attacks on civilians.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4 p.m.