Triple

T12124899
Position Surface form Disambiguated ID Type / Status
Subject Minister of Internal Administration of Portugal E288785 entity
Predicate hasAbbreviation P43 FINISHED
Object MAI (for the ministry) E232161 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: MAI (for the ministry) | Statement: [Minister of Internal Administration of Portugal, hasAbbreviation, MAI (for the ministry)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAI (for the ministry)
Context triple: [Minister of Internal Administration of Portugal, hasAbbreviation, MAI (for the ministry)]
  • A. MAI
    MAI is the National Rail station code for Maidenhead railway station in Berkshire, England.
  • B. MAI chosen
    MAI is the commonly used abbreviation for Romania’s Ministry of Internal Affairs, the government body responsible for internal security, public order, and civil administration.
  • C. MAAIF
    MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • D. MAJ
    MAJ is the IATA airport code for Marshall Islands International Airport, the main air gateway to Majuro in the Marshall Islands.
  • E. 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.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9157b2a9881908ec0e58cf438fce0 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f686d6c08190b1f1ca2d5a51f5df completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.