Triple

T16336208
Position Surface form Disambiguated ID Type / Status
Subject P80 E396684 entity
Predicate operator P179 FINISHED
Object Arianespace E290053 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: Arianespace | Statement: [P80, operator, Arianespace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arianespace
Context triple: [P80, operator, Arianespace]
  • A. Arianespace chosen
    Arianespace is a European launch service provider that markets and operates Ariane, Vega, and Soyuz rockets for commercial and institutional satellite missions.
  • B. Astra Space
    Astra Space is an American aerospace company focused on developing small, cost-effective launch vehicles to provide frequent, flexible access to low Earth orbit for small satellites.
  • C. International Launch Services
    International Launch Services is a commercial space launch company that markets and manages satellite launches, historically using Russia’s Proton rocket for missions to orbit.
  • D. Astrium
    Astrium was a major European aerospace company specializing in the design and manufacture of satellites, space systems, and launch vehicle components.
  • E. ArianeGroup
    ArianeGroup is a European aerospace company that designs, builds, and operates Ariane family launch vehicles and related space systems.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e3af7881908a3116c41ed69115 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003556630081909e60e378e97b06fb completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.