Triple
T11888657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GZP |
E282856
|
entity |
| Predicate | airlineOwnerIndustry |
P102081
|
FINISHED |
| Object | energy company |
—
|
LITERAL FINISHED |
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: energy company | Statement: [GZP, airlineOwnerIndustry, energy company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineOwnerIndustry Context triple: [GZP, airlineOwnerIndustry, energy company]
-
A.
airlineOwnershipType
Indicates the type or nature of ownership relationship that exists between an airline and its owning entity.
-
B.
airlineParentCompany
Indicates that one company is the parent or owning company of an airline.
-
C.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
D.
associatedAirlineIndustry
Indicates that there is a relationship or connection between an entity and the airline industry, such as involvement, affiliation, or relevance to that sector.
-
E.
airlineOperator
Indicates that one entity operates or manages airline services for another entity or in a specified context.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.