Triple
T25026079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QG |
E626710
|
entity |
| Predicate | associatedAirlineHeadquartersIsland |
P177992
|
FINISHED |
| Object | Java |
—
|
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: Java | Statement: [QG, associatedAirlineHeadquartersIsland, Java]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirlineHeadquartersIsland Context triple: [QG, associatedAirlineHeadquartersIsland, Java]
-
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.
airlineCommonName
Indicates the commonly used or publicly recognized name by which an airline is known.
-
D.
associatedAirlineFullName
Indicates the full official name of the airline that is associated with a given entity or record.
-
E.
airlineAssociation
Indicates a formal relationship or affiliation between an airline and another entity, such as a partner, alliance, or associated organization.
- F. None of above. chosen
Provenance (4 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_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 18, 2026, 6:07 a.m.