Triple

T22503371
Position Surface form Disambiguated ID Type / Status
Subject Altran E556330 entity
Predicate formerName P65 FINISHED
Object Altran Technologies NE NERFINISHED

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: Altran Technologies | Statement: [Altran, formerName, Altran Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altran Technologies
Context triple: [Altran, formerName, Altran Technologies]
  • A. Setra Systems
    Setra Systems is a manufacturer of high-precision sensing and measurement instruments, particularly known for its pressure and environmental sensors used in industrial, HVAC, and critical environment applications.
  • B. Multitech
    Multitech was the original name of Acer, a Taiwanese multinational technology company known for manufacturing computers, laptops, and related electronics.
  • C. Omni-Tech
    Omni-Tech is Columbia Sportswear’s proprietary waterproof-breathable fabric technology designed to keep wearers dry and comfortable in harsh weather conditions.
  • D. Altran chosen
    Altran is a global engineering and R&D services company, now operating as part of Capgemini Engineering after its acquisition by Capgemini.
  • E. Quintel
    Quintel is the surname of J. G. Quintel, the American animator and creator best known for the television series "Regular Show."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5a01888190ba65a05616b63cbe completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.