Triple
T6273101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vágar Airport |
E140585
|
entity |
| Predicate | civilian use began |
P23908
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Vágar Airport, civilian use began, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilian use began Context triple: [Vágar Airport, civilian use began, 1963]
-
A.
civilianUse
chosen
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
-
B.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
C.
firstOperationalUse
Indicates the point in time or context when something is used operationally for the very first time.
-
D.
locationOfFirstCommercialUse
Indicates the place where something was first used commercially.
-
E.
firstWidelyUsedFor
Indicates that something was the earliest instance to be broadly adopted or commonly used for a particular purpose or application.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063be5a148190a8752426d2d220f8 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.