Triple

T12825962
Position Surface form Disambiguated ID Type / Status
Subject ArgoMoon E306652 entity
Predicate operator P179 FINISHED
Object Argotec E1004471 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: Argotec | Statement: [ArgoMoon, operator, Argotec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argotec
Context triple: [ArgoMoon, operator, Argotec]
  • A. Argotec chosen
    Argotec is an Italian aerospace engineering company specializing in the design and development of small satellites and space systems for scientific and commercial missions.
  • B. Exatel
    Exatel is a major Polish telecommunications company that operates one of the country’s key fiber-optic backbone networks and provides a range of data, internet, and cybersecurity services.
  • C. Imtech
    Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
  • D. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • E. Omni-Tech
    Omni-Tech is Columbia Sportswear’s proprietary waterproof-breathable fabric technology designed to keep wearers dry and comfortable in harsh weather conditions.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b99d9bc8190b67f73985c8f6768 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:33 p.m.