Triple
T163787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DOS |
E2966
|
entity |
| Predicate | cabinetRank |
P1269
|
FINISHED |
| Object | Cabinet-level department |
—
|
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: Cabinet-level department | Statement: [DOS, cabinetRank, Cabinet-level department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinetRank Context triple: [DOS, cabinetRank, Cabinet-level department]
-
A.
cabinetLevel
chosen
Indicates that an official, position, or body holds a status equivalent to or recognized as part of a national cabinet-level rank or authority.
-
B.
cabinet
Indicates that one entity serves as a cabinet (a storage or enclosure unit) for another entity.
-
C.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
D.
ordinalInOffice
Indicates the numerical order or rank of an individual’s term or tenure in a particular office or position.
-
E.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2566392208190a538ea9aa1fac53e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.