Triple
T8914752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO Rapid Deployable Corps Spain |
E212268
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | Bétera |
E765598
|
NE 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: Bétera | Statement: [NATO Rapid Deployable Corps Spain, garrison, Bétera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bétera Context triple: [NATO Rapid Deployable Corps Spain, garrison, Bétera]
-
A.
Bétera
chosen
Bétera is a municipality in the province of Valencia, Spain, known for hosting a major NATO rapid deployment military headquarters.
-
B.
Arisbe
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
-
C.
Erquito
Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
-
D.
Garamas
Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
-
E.
Báguanos
Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660e620c8190b02b9843c8f02bfa |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d0965c81908841fe591283e4a4 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:56 p.m.