Triple
T16959176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of National Defense |
E411381
|
entity |
| Predicate | hasRankInProtocol |
P34969
|
FINISHED |
| Object | senior member of the Cabinet of the Philippines |
—
|
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: senior member of the Cabinet of the Philippines | Statement: [Secretary of National Defense, hasRankInProtocol, senior member of the Cabinet of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankInProtocol Context triple: [Secretary of National Defense, hasRankInProtocol, senior member of the Cabinet of the Philippines]
-
A.
rankInProtocol
chosen
Indicates the relative position or precedence an entity holds within an ordered protocol or formal hierarchy.
-
B.
hasRankContext
Indicates that an entity’s rank or ordering is defined, interpreted, or constrained within a specific contextual framework or situation.
-
C.
hasProtocol
Indicates that an entity uses, follows, or is governed by a specified protocol or set of procedural rules.
-
D.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
E.
hasRankOrder
Indicates that one entity is ordered or positioned relative to others according to a specific ranking or sequence.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01e420881909be1d93d7d6772fd |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.