Triple
T539403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatow Airfield |
E12395
|
entity |
| Predicate | closedForFlightOperations |
P16654
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Gatow Airfield, closedForFlightOperations, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForFlightOperations Context triple: [Gatow Airfield, closedForFlightOperations, 1994]
-
A.
closedForPassengers
Indicates that a transportation facility or vehicle is not available for use by passengers.
-
B.
flightRules
Indicates the regulatory or procedural rules that govern how a flight must be conducted or operated.
-
C.
aircraftFacility
Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
-
D.
openedAsCivilAirport
Indicates that a facility or location began operation specifically as a civil (non-military) airport.
-
E.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49857e1148190aa782b82675cf0b5 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.