Triple
T3062368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tempelhofer Feld |
E62023
|
entity |
| Predicate | closureDateAsAirport |
P19867
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Tempelhofer Feld, closureDateAsAirport, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closureDateAsAirport Context triple: [Tempelhofer Feld, closureDateAsAirport, 2008]
-
A.
closedForFlightOperations
Indicates that a location, facility, or area is temporarily unavailable or prohibited for conducting flight operations.
-
B.
closureYear
chosen
Indicates the year in which an entity (such as an organization, facility, or service) ceased operations or was officially closed.
-
C.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
D.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
E.
airportOpened
Indicates that an airport began operations or was officially opened at a specific time.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9f33d88190bd481cb7f18ceb91 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.