Triple

T19248817
Position Surface form Disambiguated ID Type / Status
Subject MAUP E481332 entity
Predicate hasAbbreviation P43 FINISHED
Object MAUP NE NERFINISHED

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: MAUP | Statement: [MAUP, hasAbbreviation, MAUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAUP
Context triple: [MAUP, hasAbbreviation, MAUP]
  • A. MAUP chosen
    MAUP is a Ukrainian private higher education institution known for its programs in management, law, and social sciences.
  • B. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • C. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • D. MAU
    MAU is the commonly used abbreviation for Malmö University, a public higher education institution in Malmö, Sweden.
  • E. MAUR
    MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2f43e48190abab5257bec8e6aa completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.