Triple
T23708215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vantage Airport Group |
E585786
|
entity |
| Predicate | investsInAssetType |
P29377
|
FINISHED |
| Object | airports |
—
|
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: airports | Statement: [Vantage Airport Group, investsInAssetType, airports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investsInAssetType Context triple: [Vantage Airport Group, investsInAssetType, airports]
-
A.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
B.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
C.
notableAssetClass
chosen
Indicates that an entity is significantly associated with, or recognized for, a particular class of assets.
-
D.
investmentScope
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
-
E.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
- 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_69e24905f77881908194d645676acd60 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b68868ac8190824cdd7eb9fb2f06 |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.