Triple

T22931563
Position Surface form Disambiguated ID Type / Status
Subject STS-51 E569452 entity
Predicate payload P12202 FINISHED
Object SPAS 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: SPAS | Statement: [STS-51, payload, SPAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPAS
Context triple: [STS-51, payload, SPAS]
  • A. SPAS
    SPAS is the School of Professional and Area Studies, an institution focused on specialized professional and regional studies education.
  • B. SPAS platform chosen
    The SPAS platform is a reusable free-flying satellite carrier developed for deployment and retrieval by the Space Shuttle to support various scientific and technological experiments in orbit.
  • C. SPAS-01
    SPAS-01 is a reusable free-flying pallet satellite developed for deployment and retrieval by NASA’s Space Shuttle to support various scientific and technological experiments in orbit.
  • D. SPASD
    SPASD is a public school district serving the Sun Prairie, Wisconsin area, providing K–12 education across multiple schools in the community.
  • E. SPRA
    SPRA is the French Armed Forces’ specialized service responsible for radiological protection, monitoring, and response within military contexts.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813260608190bb9e1ca704c7e12f completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.