Triple

T32142868
Position Surface form Disambiguated ID Type / Status
Subject Battle for Tripoli International Airport (2014) E820951 entity
Predicate statusOfAirportAfterBattle P48854 FINISHED
Object non-operational for regular international traffic 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: non-operational for regular international traffic | Statement: [Battle for Tripoli International Airport (2014), statusOfAirportAfterBattle, non-operational for regular international traffic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusOfAirportAfterBattle
Context triple: [Battle for Tripoli International Airport (2014), statusOfAirportAfterBattle, non-operational for regular international traffic]
  • A. airportStatus chosen
    Indicates the current operational condition or state of an airport (e.g., open, closed, delayed, restricted).
  • B. originAirportAtTimeOfDestruction
    Indicates the airport from which an entity departed or was located at the specific time it was destroyed.
  • C. formerAirportStatus
    Indicates that an entity previously held the status of an airport but no longer functions as one.
  • D. statusOfCityAfterEvent
    Indicates the condition or state a city is in as a result of a specific event.
  • E. statusOfCityBeforeBattle
    Indicates the condition or situation a city was in immediately prior to a specific battle.
  • F. None of above.

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_69f3490520d081909b2f1271dab75faa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe8f74748c8190bd14a856c057f9f7 completed May 9, 2026, 1:35 a.m.
PD Predicate disambiguation batch_69fe8e7ed8088190929e0df67aca4de9 completed May 9, 2026, 1:31 a.m.
Created at: May 1, 2026, 12:31 a.m.