Triple
T2781574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | III MEF |
E61707
|
entity |
| Predicate | engagementFocus |
P31
|
FINISHED |
| Object | alliances and partnerships in the Indo-Pacific |
—
|
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: alliances and partnerships in the Indo-Pacific | Statement: [III MEF, engagementFocus, alliances and partnerships in the Indo-Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementFocus Context triple: [III MEF, engagementFocus, alliances and partnerships in the Indo-Pacific]
-
A.
engagementArea
Indicates the spatial region or scope within which an entity’s actions, influence, or interactions are intended to occur.
-
B.
engagementType
Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
-
C.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
D.
engagementLevel
Indicates the degree or intensity of involvement, interest, or participation one entity has in relation to another entity, activity, or context.
-
E.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.