Triple

T6167538
Position Surface form Disambiguated ID Type / Status
Subject OSERS E137604 entity
Predicate abbreviation P43 FINISHED
Object OSERS E137604 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: OSERS | Statement: [OSERS, abbreviation, OSERS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSERS
Context triple: [OSERS, abbreviation, OSERS]
  • A. OSERS chosen
    OSERS is a U.S. Department of Education office responsible for supporting special education services and rehabilitative programs for individuals with disabilities.
  • B. OSRHE
    OSRHE is the coordinating board that oversees Oklahoma’s public colleges and universities, setting policies, academic standards, and budget recommendations for the state’s higher education system.
  • C. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • D. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • E. ORS
    ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d647ae48190a1db07b4f4a06e67 completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a3ea6c81908847998960c9d0eb completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.