Triple

T14046982
Position Surface form Disambiguated ID Type / Status
Subject MAS E337980 entity
Predicate hasIATAStyleAbbreviation P2569 FINISHED
Object MAS E82362 NE FINISHED

How this triple was built (3 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: MAS | Statement: [MAS, hasIATAStyleAbbreviation, MAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAS
Context triple: [MAS, hasIATAStyleAbbreviation, MAS]
  • A. MAS
    MAS is the official Indian Railways station code for Chennai Central, one of the busiest and most important railway terminals in South India.
  • B. MAS chosen
    MAS is the ICAO airline designator used to identify Malaysia Airlines in international aviation operations.
  • C. MAS
    MAS (Monetary Authority of Singapore) is Singapore’s central bank and integrated financial regulator, responsible for monetary policy, financial supervision, and the stability of the country’s financial system.
  • D. MAS
    MAS is a sports club based in Saint-Étienne, France, known for its participation in regional football competitions.
  • E. MAS
    MAS is a major contemporary museum in Antwerp, Belgium, known for its striking architecture and exhibitions on the city’s history, art, and global connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIATAStyleAbbreviation
Context triple: [MAS, hasIATAStyleAbbreviation, MAS]
  • A. hasIATAcode chosen
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. hasNameAbbreviation
    Indicates that an entity is associated with a shortened or abbreviated form of its full name.
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. hasCountryAbbreviation
    Indicates that an entity is associated with a specific standardized abbreviated form of a country’s name.
  • E. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • F. None of above.

Provenance (4 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34332448190b044f55f0f85d5e2 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69de05ab36b48190920efb1869bdb1fe completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.