Triple

T10249474
Position Surface form Disambiguated ID Type / Status
Subject Vinci Autoroutes E240301 entity
Predicate ownsBrand P1500 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 Autoroutes, ownsBrand, ASF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASF
Context triple: [Vinci Autoroutes, ownsBrand, ASF]
  • A. ASF chosen
    ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
  • B. ASF
    ASF is the acronym for the African Standby Force, a continental, multidisciplinary peacekeeping and rapid-deployment force established by the African Union to respond to conflicts and crises in Africa.
  • C. ASF
    ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
  • D. ASF
    ASF is a major professional regional theatre company in Montgomery, Alabama, renowned for its productions of Shakespearean and contemporary plays.
  • E. ASF
    ASF (Advanced Systems Format) is a Microsoft-developed digital audio/video container format designed primarily for streaming media over networks.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7b66c6881908b432fbdd5ecf11e completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:28 a.m.