Triple

T28977329
Position Surface form Disambiguated ID Type / Status
Subject بنينة E734447 entity
Predicate يخدمها P17148 FINISHED
Object مطار بنينة الدولي 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: مطار بنينة الدولي | Statement: [بنينة, يخدمها, مطار بنينة الدولي]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يخدمها
Context triple: [بنينة, يخدمها, مطار بنينة الدولي]
  • A. served chosen
    Indicates that one entity provided a service, assistance, or role-based function to or for another entity.
  • B. servedByService
    Indicates that something is provided, handled, or fulfilled by a particular service.
  • C. intendedToServe
    Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
  • D. providesServiceTowards
    Indicates that one entity delivers or performs a service directed to or for the benefit of another entity.
  • E. يتبعها
    Indicates that one entity comes after, succeeds, or is subordinate to another in order, sequence, or hierarchy.
  • 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_69f05b0d1e7c819092baab93d3fe277e completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65ee1cc508190bc979963e3589271 completed May 2, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 9:09 a.m.