Triple

T2169394
Position Surface form Disambiguated ID Type / Status
Subject CNES E46986 entity
Predicate collaboratesWith P37 FINISHED
Object ASI E79018 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: ASI | Statement: [CNES, collaboratesWith, ASI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASI
Context triple: [CNES, collaboratesWith, ASI]
  • A. ASI chosen
    ASI (Agenzia Spaziale Italiana) is the Italian Space Agency responsible for coordinating Italy’s space policy, research, and missions in collaboration with international partners.
  • B. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • C. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • D. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • E. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeaeb58881908ad34f7b253bac2a completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f511a08190880fbde8900d59df completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.