Triple

T13106282
Position Surface form Disambiguated ID Type / Status
Subject CoE E310851 entity
Predicate partOf P40 FINISHED
Object GSA E326342 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: GSA | Statement: [CoE, partOf, GSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSA
Context triple: [CoE, partOf, GSA]
  • A. GSA
    GSA is the commonly used abbreviation for the Golden Spikes Award, an annual honor recognizing the top amateur baseball player in the United States.
  • B. GSA chosen
    GSA is a U.S. federal agency that manages government buildings, supplies, and procurement services for other federal agencies.
  • C. GSA
    GSA is a representative organization that advocates for the interests and welfare of graduate students within a university or academic institution.
  • D. GSA OCPO
    GSA OCPO is the U.S. General Services Administration’s Office of the Chief Privacy Officer, responsible for overseeing privacy policy, compliance, and protection of personal information across the agency’s programs and systems.
  • E. GSA Fleet
    GSA Fleet is a division of the U.S. General Services Administration that manages and leases a large federal vehicle fleet to government agencies nationwide.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eadad81c8190881e6577e1c2a207 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:05 p.m.