Triple
T31013486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unified Commands (Armed Forces of the Philippines) |
E790265
|
entity |
| Predicate | staffStructure |
P81509
|
FINISHED |
| Object | joint staff |
—
|
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: joint staff | Statement: [Unified Commands (Armed Forces of the Philippines), staffStructure, joint staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: staffStructure Context triple: [Unified Commands (Armed Forces of the Philippines), staffStructure, joint staff]
-
A.
workStructure
Indicates how work is organized, arranged, or structured within or between entities.
-
B.
groupStructure
chosen
Indicates that multiple entities are organized together as a collective unit with some defined internal arrangement or hierarchy.
-
C.
officeHierarchy
Indicates a reporting or supervisory relationship between positions within an office, defining who is above or below whom in the organizational chain of command.
-
D.
personnelComposition
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
-
E.
partnerStructure
Indicates a relationship where one entity is organized, configured, or structured in coordination with, or as a counterpart to, another entity in a partnership context.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:57 p.m.