Triple

T13143743
Position Surface form Disambiguated ID Type / Status
Subject UFRO E312282 entity
Predicate acronym P43 FINISHED
Object UFRO E312282 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: UFRO | Statement: [UFRO, acronym, UFRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UFRO
Context triple: [UFRO, acronym, UFRO]
  • A. UFRO chosen
    UFRO is the commonly used acronym for Universidad de La Frontera, a public university in Temuco, Chile.
  • B. UF
    UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
  • C. UrFO
    UrFO is the commonly used Russian abbreviation for the Ural Federal District, a federal district of Russia located around the Ural Mountains.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. OFROU
    OFROU is the Swiss Federal Roads Office, the national authority responsible for planning, constructing, and maintaining Switzerland’s national road network and related traffic policies.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae4a87881908be57e15f001c904 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.