Triple

T21535216
Position Surface form Disambiguated ID Type / Status
Subject USTRA E531332 entity
Predicate abbreviation P43 FINISHED
Object USTRA 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: USTRA | Statement: [USTRA, abbreviation, USTRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USTRA
Context triple: [USTRA, abbreviation, USTRA]
  • A. USTRA chosen
    USTRA is the abbreviated name of the Swiss Federal Roads Office, the national authority responsible for Switzerland’s motorway and main road network.
  • B. UST
    UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
  • C. UST
    UST is the IATA airport code for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
  • D. UST
    UST is the standard abbreviation for the official U.S. government compilation of treaties and other international agreements to which the United States is a party.
  • E. UST
    UST is the commonly used German-language abbreviation for Switzerland’s Federal Statistical Office, the national authority responsible for official statistics.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ce8d08190b3233d7117a9b1ca completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.