Triple

T30213151
Position Surface form Disambiguated ID Type / Status
Subject LVGZ E768124 entity
Predicate formerMainAirportFor P81616 FINISHED
Object Gaza Strip 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: Gaza Strip | Statement: [LVGZ, formerMainAirportFor, Gaza Strip]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerMainAirportFor
Context triple: [LVGZ, formerMainAirportFor, Gaza Strip]
  • A. replacedAsMainAirportFor
    Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
  • B. replacedFormerAirportOf
    Indicates that one airport has taken over the role or function previously served by another airport, effectively succeeding it as the primary facility for a given area or purpose.
  • C. previousPrimaryAirportFor chosen
    Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
  • D. usedAsMainInternationalAirportFrom
    Indicates that a location or facility serves as the primary international airport for a specified place or region starting from a given point in time.
  • E. usedAsMainInternationalAirportUntil
    Indicates that an airport served as the primary international airport for a given place or system up to a specified point in time.
  • 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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fed357b2b4819084c709056a54461f completed May 9, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69fed103d9cc81909b11619745110c61 completed May 9, 2026, 6:15 a.m.
Created at: April 29, 2026, 7:33 p.m.