Triple
T25026067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QG |
E626710
|
entity |
| Predicate | headquarteredAirlineCountry |
P12357
|
FINISHED |
| Object | Indonesia |
—
|
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: Indonesia | Statement: [QG, headquarteredAirlineCountry, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquarteredAirlineCountry Context triple: [QG, headquarteredAirlineCountry, Indonesia]
-
A.
associatedAirlineHeadquarters
Indicates that an airline is connected to or based at a particular headquarters location.
-
B.
linkedAirlineHeadquartersLocation
chosen
Indicates that an airline’s headquarters is located in the specified place or facility.
-
C.
airlineParentCompany
Indicates that one company is the parent or owning company of an airline.
-
D.
airlineFoundedAs
Indicates that one airline was originally established or created under a particular initial name, structure, or predecessor airline.
-
E.
operatorHeadquartersAirport
Indicates that the specified airport serves as the primary headquarters location for the operator.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44f6ad0408190a69a32f5ab79a108 |
completed | May 1, 2026, 6:59 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:07 a.m.