Triple
T7793252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gressholmen |
E180232
|
entity |
| Predicate | timePeriodOfFormerAirportUse |
P79055
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Gressholmen, timePeriodOfFormerAirportUse, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfFormerAirportUse Context triple: [Gressholmen, timePeriodOfFormerAirportUse, 20th century]
-
A.
airfieldDecommissioned
Indicates that an airfield has been officially taken out of service and is no longer used for regular aviation operations.
-
B.
airfieldOpened
Indicates that an airfield began operations or was officially opened at a certain time.
-
C.
timePeriodOfEarlierOccupation
Indicates that one entity specifies the time span during which another entity was previously occupied or held a position before a later occupation.
-
D.
replacedAsMainAirportFor
Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
-
E.
flightPeriod
Indicates the time span during which a flight occurs or is scheduled to operate.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:31 p.m.