Triple

T24581524
Position Surface form Disambiguated ID Type / Status
Subject SVH E608262 entity
Predicate notIATA P156428 FINISHED
Object true LITERAL 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: true | Statement: [SVH, notIATA, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notIATA
Context triple: [SVH, notIATA, true]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. hasIATAStyle
    Indicates that one entity uses or conforms to the IATA (International Air Transport Association) style or formatting standard associated with another entity.
  • D. usesIATACodeAtOtherEnd
    Indicates that one entity identifies or refers to the other end of a route, connection, or relationship using its IATA airport code.
  • E. hasIATAFlightNumber
    Indicates that an entity (typically a flight) is associated with a specific IATA-designated flight number.
  • F. None of above. chosen

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_69e2c4ce89248190ad99e18f0638dfbb completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a982db00819081038adce05c0b52 completed April 30, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f2a6c1f07081908edf0b521767e79b completed April 30, 2026, 12:48 a.m.
PDg Predicate description generation batch_69f2a846c5bc81909ba50cee483bea91 completed April 30, 2026, 12:54 a.m.
Created at: April 18, 2026, 2:29 a.m.