Triple

T14138964
Position Surface form Disambiguated ID Type / Status
Subject University of Valencia E350371 entity
Predicate abbreviation P43 FINISHED
Object UV E350371 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: UV | Statement: [University of Valencia, abbreviation, UV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UV
Context triple: [University of Valencia, abbreviation, UV]
  • A. UV
    UV is the commonly used abbreviation for the Universidad Veracruzana, a major public university in the Mexican state of Veracruz.
  • B. UV chosen
    UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
  • C. VUV
    VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
  • D. UVOT
    UVOT is a space-based ultraviolet and optical telescope instrument, best known as part of NASA's Swift observatory for studying gamma-ray bursts and other transient astrophysical phenomena.
  • E. UVES
    UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6111a36081909beff35c88a56960 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf16079c819080a74cd8a6eb37a6 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:40 a.m.