Triple

T13380428
Position Surface form Disambiguated ID Type / Status
Subject TUW E319302 entity
Predicate abbreviation P43 FINISHED
Object TUW E319302 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: TUW | Statement: [TUW, abbreviation, TUW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUW
Context triple: [TUW, abbreviation, TUW]
  • A. TUW chosen
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • B. TWU
    TWU is the IATA airport code for Tawau Airport, which serves the town of Tawau in Sabah, Malaysia.
  • C. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • D. TUKE
    TUKE is a major Slovak technical university based in Košice, known for its engineering, technology, and applied science programs.
  • E. TUK
    TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce694788190881d1feac5b75720 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268b09808190b4ffd1db72e1f1f1 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.