Triple

T4327743
Position Surface form Disambiguated ID Type / Status
Subject OSCT E96672 entity
Predicate hasAbbreviation P43 FINISHED
Object OSCT E96672 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: OSCT | Statement: [OSCT, hasAbbreviation, OSCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSCT
Context triple: [OSCT, hasAbbreviation, OSCT]
  • A. OSCT chosen
    OSCT is the acronym for the UK government’s Office for Security and Counter-Terrorism, which leads national strategy and policy on counter-terrorism and security.
  • B. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • C. OSC
    OSC is a hands-on science museum and learning center in Orlando, Florida, featuring interactive exhibits, live demonstrations, and educational programs focused on science and technology.
  • D. OSC
    OSC is the commonly used abbreviation for the Ontario Science Centre, a major interactive science museum and educational institution in Toronto, Canada.
  • E. OCS
    OCS is a United States Marine Corps training program that evaluates and prepares prospective officers for commissioning.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35131f11881909e2d5415a70d5785 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09bf304819084fc1b9162c8b48a completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.