Triple
T32975594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XY |
E843650
|
entity |
| Predicate | operatorAirlineHeadquartersCountry |
P12358
|
FINISHED |
| Object | Saudi Arabia |
—
|
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: Saudi Arabia | Statement: [XY, operatorAirlineHeadquartersCountry, Saudi Arabia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorAirlineHeadquartersCountry Context triple: [XY, operatorAirlineHeadquartersCountry, Saudi Arabia]
-
A.
associatedAirlineHeadquarters
Indicates that an airline is connected to or based at a particular headquarters location.
-
B.
linkedAirlineHeadquartersLocation
Indicates that an airline’s headquarters is located in the specified place or facility.
-
C.
associatedAirlineHeadquartersIsland
Indicates that an airline’s headquarters are located on a specific island.
-
D.
linkedAirlineCountry
chosen
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
-
E.
airlineNationalityOfAirline
Indicates the country or nationality with which an airline is associated.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a004fd3caf48190b2ec063a7bf0756b |
completed | May 10, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a004f7672dc8190aca91d1ed855bf9a |
completed | May 10, 2026, 9:27 a.m. |
Created at: May 1, 2026, 1:22 a.m.