Triple

T2913222
Position Surface form Disambiguated ID Type / Status
Subject Office of Travel, Transportation and Logistics (FAS) E63732 entity
Predicate usesAcronym P43 FINISHED
Object OTTL E310843 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: OTTL | Statement: [Office of Travel, Transportation and Logistics (FAS), usesAcronym, OTTL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OTTL
Context triple: [Office of Travel, Transportation and Logistics (FAS), usesAcronym, OTTL]
  • A. OTTL chosen
    OTTL is a division within the U.S. General Services Administration’s Federal Acquisition Service that manages and oversees federal travel, transportation, and logistics programs and policies.
  • B. OTT
    OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
  • C. OTR
    OTR is the District of Columbia’s government agency responsible for administering and collecting the city’s taxes and revenue.
  • D. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • E. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ecaba48190a8e22c74a111fded completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0865c719c8190aacafe236b02c844 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:11 p.m.