Triple
T23921473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrinion Airport |
E602225
|
entity |
| Predicate | civilUseStatus |
P154373
|
FINISHED |
| Object | closed |
—
|
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: closed | Statement: [Agrinion Airport, civilUseStatus, closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilUseStatus Context triple: [Agrinion Airport, civilUseStatus, closed]
-
A.
civilianUse
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
-
B.
civilianEligibility
Indicates that an entity meets the criteria or conditions required to be classified or treated as a civilian in a given context.
-
C.
isCivil
Indicates that one party behaves in a polite, respectful, and non-hostile manner toward another.
-
D.
civilian
Indicates that an entity is a non-military person or object associated with civilian status or context.
-
E.
usedLegalStatus
Indicates that one entity applies or relies on the legal status or classification of another entity in a given 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf18d99081908efc0251ef6f25a5 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:41 p.m.