Triple
T30122617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bétera |
E765598
|
entity |
| Predicate | hasNATOFacility |
P144769
|
FINISHED |
| Object | NATO Rapid Deployable Corps Spain Headquarters |
—
|
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: NATO Rapid Deployable Corps Spain Headquarters | Statement: [Bétera, hasNATOFacility, NATO Rapid Deployable Corps Spain Headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNATOFacility Context triple: [Bétera, hasNATOFacility, NATO Rapid Deployable Corps Spain Headquarters]
-
A.
supportsNATTraversalExtension
Indicates that one entity provides or is compatible with a network address translation (NAT) traversal extension for enabling communication across NAT boundaries.
-
B.
hasFacilityFunction
chosen
Indicates that a facility performs, supports, or is designated for a particular function or operational role.
-
C.
hasTerminalFacility
Indicates that an entity possesses or includes a terminal facility used as an endpoint for transport, communication, or related operations.
-
D.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
E.
hasNet
Indicates that one entity possesses, is equipped with, or includes a net.
- 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_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 29, 2026, 7:13 p.m.