Triple
T17074593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enschede Airport Twente |
E414315
|
entity |
| Predicate | civilAviationResumed |
P106089
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Enschede Airport Twente, civilAviationResumed, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilAviationResumed Context triple: [Enschede Airport Twente, civilAviationResumed, 2017]
-
A.
reopenedForCommercialFlightsIn
chosen
Indicates that an airport or airfield resumed operating commercial passenger or cargo flights starting in a specified time or period.
-
B.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
C.
aviationAuthority
Indicates that one entity serves as the official aviation regulatory or oversight body responsible for governing, certifying, or supervising the other entity’s aviation-related activities.
-
D.
affectsAirTraffic
Indicates that one entity causes changes or disruptions to the normal flow, safety, or management of air traffic.
-
E.
isCivilAviationHub
Indicates that a location serves as a central node for civil (non-military) air transport operations, such as passenger and cargo flights.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc3b69c819093b32da3998eed46 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.