Triple
T30122151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO E-3A Component |
E765587
|
entity |
| Predicate | hasForwardOperatingLocation |
P65992
|
FINISHED |
| Object | Trapani Air Base |
—
|
NE NERFINISHED |
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: Trapani Air Base | Statement: [NATO E-3A Component, hasForwardOperatingLocation, Trapani Air Base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasForwardOperatingLocation Context triple: [NATO E-3A Component, hasForwardOperatingLocation, Trapani Air Base]
-
A.
hasBaseOfOperations
Indicates that an entity uses a particular location as its primary place of operation or activity.
-
B.
hasDutyStation
Indicates that an entity (such as a person or position) is assigned to a specific official location where their primary work or duties are performed.
-
C.
operationLocation
chosen
Indicates the place or site where an operation, activity, or process is carried out.
-
D.
hasNearbyHeadquarters
Indicates that the headquarters of two entities are located geographically close to each other.
-
E.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 29, 2026, 7:13 p.m.