Triple

T23489737
Position Surface form Disambiguated ID Type / Status
Subject Officers Training Academy E570635 entity
Predicate hasAbbreviation P43 FINISHED
Object OTA 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: OTA | Statement: [Officers Training Academy, hasAbbreviation, OTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OTA
Context triple: [Officers Training Academy, hasAbbreviation, OTA]
  • A. OTA
    OTA is the Oklahoma Turnpike Authority, the state agency responsible for operating and maintaining Oklahoma’s turnpike system.
  • B. OTA chosen
    OTA is a premier Indian military training institution that prepares cadets for commissioning as officers in the Indian Army.
  • C. ota
    ota is the ISO 639-3 language code for Ottoman Turkish, the historical Turkic language of the Ottoman Empire.
  • D. OTO
    OTO was the former name of Oto Melara, an Italian defense company known for producing naval guns, artillery systems, and other military equipment.
  • E. OTS
    OTS is the postnominal abbreviation used by recipients of the Gold and Silver Rays honor.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dba7388190a322ab059bb6522a completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.