Triple

T14112263
Position Surface form Disambiguated ID Type / Status
Subject NTUA E339667 entity
Predicate shortName P43 FINISHED
Object NTUA E339667 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: NTUA | Statement: [NTUA, shortName, NTUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTUA
Context triple: [NTUA, shortName, NTUA]
  • A. NTUA chosen
    NTUA is a leading Greek public engineering and technology university based in Athens, renowned for its rigorous technical education and research.
  • B. NTU
    NTU is the commonly used abbreviation for the Dutch Language Union (Nederlandse Taalunie), the international institution that regulates and promotes the Dutch language.
  • C. NTU
    NTU is the IATA airport code for Naval Air Station Oceana, a major U.S. Navy jet base located in Virginia Beach, Virginia.
  • D. NTU
    NTU is the commonly used abbreviation for Navajo Technical University, a higher education institution serving the Navajo Nation and surrounding communities.
  • E. NTU
    NTU is a leading public research university in Taipei, Taiwan, renowned for its comprehensive academic programs and high global rankings.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b881388190a5bcdd87fd10c516 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.