Triple
T30373138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarakan operation |
E772604
|
entity |
| Predicate | forceStrengthAllied |
P690
|
FINISHED |
| Object | approximately 12,000 personnel |
—
|
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: approximately 12,000 personnel | Statement: [Tarakan operation, forceStrengthAllied, approximately 12,000 personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forceStrengthAllied Context triple: [Tarakan operation, forceStrengthAllied, approximately 12,000 personnel]
-
A.
forceTypeAllied
Indicates that the force involved is of an allied type relative to a specified reference side or faction.
-
B.
commandingForce2Strength
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
C.
troopStrengthAlliedApprox
chosen
Indicates that the approximate troop strength of one entity is being assessed or reported in relation to its allied forces.
-
D.
alliedForces
Indicates that multiple entities are cooperating militarily or strategically as part of the same alliance or coalition.
-
E.
commandingForce1Strength
Indicates that one entity has a certain level or measure of strength in its role as the primary commanding force over another entity or situation.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6828532d081909897bbe49b280ced |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:59 p.m.