Triple
T25768413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippines—Armed Forces—Officers |
E648945
|
entity |
| Predicate | professionalStandard |
P80495
|
FINISHED |
| Object | political neutrality |
—
|
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: political neutrality | Statement: [Philippines—Armed Forces—Officers, professionalStandard, political neutrality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalStandard Context triple: [Philippines—Armed Forces—Officers, professionalStandard, political neutrality]
-
A.
professionalStandardFor
chosen
Indicates that something defines, specifies, or serves as an authoritative professional standard that another entity is expected to follow or comply with.
-
B.
professional
Indicates that one entity has a formal, occupation-related role, service, or expertise in relation to another entity.
-
C.
professionalSince
Indicates the point in time when an entity began its professional activity or career in a given role or field.
-
D.
professionalClass
Indicates that an entity belongs to, or is categorized within, a particular professional or occupational class.
-
E.
professionalBase
Indicates that one entity serves as the primary professional location, organization, or base of operations for 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf52c2c8190b2354e611031e929 |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:12 a.m.