Triple
T14281867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitão |
E354068
|
entity |
| Predicate | equivalentRankInPortugueseNavy |
P113588
|
FINISHED |
| Object | Capitão-tenente |
—
|
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: Capitão-tenente | Statement: [Capitão, equivalentRankInPortugueseNavy, Capitão-tenente]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentRankInPortugueseNavy Context triple: [Capitão, equivalentRankInPortugueseNavy, Capitão-tenente]
-
A.
equivalentRankInUSNavy
Indicates that two military positions or ranks are considered equivalent in status or grade within the hierarchy of the United States Navy.
-
B.
navalRankContext
Indicates the relationship between an entity and its naval rank within a specific organizational, temporal, or situational context.
-
C.
equivalentRankInNOAACommissionedOfficerCorps
Indicates that two positions or grades hold the same rank level within the NOAA Commissioned Officer Corps.
-
D.
equivalentAirForceRank
Indicates that two military positions or titles correspond to the same rank level within different air forces.
-
E.
equivalentRankInUSAF
Indicates that two military ranks are considered equivalent in status or grade within the United States Air Force.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697b5e8081908e5b91a3a1c55df9 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.