Triple

T16808254
Position Surface form Disambiguated ID Type / Status
Subject Federal Roads Office E408533 entity
Predicate abbreviation P43 FINISHED
Object USTRA E531332 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: USTRA | Statement: [Federal Roads Office, abbreviation, USTRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USTRA
Context triple: [Federal Roads Office, 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 German-language abbreviation for Switzerland’s Federal Statistical Office, the national authority responsible for official statistics.
  • C. 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.
  • D. UST
    UST is the IATA airport code for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
  • E. UST
    UST is a historic and prestigious Catholic university in Manila, Philippines, known as one of Asia’s oldest existing universities.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cde590819080dc474292b023ee completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28f125481909664363904f4c031 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.