Triple
T3247283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain General of the Spanish Armed Forces |
E68093
|
entity |
| Predicate | equivalentRankInNATO |
P24247
|
FINISHED |
| Object | OF-10 |
—
|
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: OF-10 | Statement: [Captain General of the Spanish Armed Forces, equivalentRankInNATO, OF-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentRankInNATO Context triple: [Captain General of the Spanish Armed Forces, equivalentRankInNATO, OF-10]
-
A.
NATOcode
Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
-
B.
rankInPentarchy
Indicates the relative hierarchical position an entity holds within the structure of the pentarchy.
-
C.
positionOnNATO
Indicates a country's stance or alignment regarding membership in, support for, or opposition to NATO.
-
D.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
E.
NATORankCode
chosen
Indicates the standardized NATO rank classification assigned to a military person or position within the alliance.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1c184c8190a43a3594decd0920 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.