Triple
T14475116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Piranha |
E358946
|
entity |
| Predicate | forceStrength_US_and_ARVN |
P67411
|
FINISHED |
| Object | approximately 5,000 troops |
—
|
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 5,000 troops | Statement: [Operation Piranha, forceStrength_US_and_ARVN, approximately 5,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forceStrength_US_and_ARVN Context triple: [Operation Piranha, forceStrength_US_and_ARVN, approximately 5,000 troops]
-
A.
commandingForce2Strength
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
B.
strengthGovernmentForces
chosen
Indicates the level or degree of military or coercive power held or exerted by government forces in a given context.
-
C.
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.
-
D.
forcesAction
Indicates that one entity compels or coerces another entity to perform a specific action or behavior.
-
E.
hasForceStrength
Indicates that one entity possesses a certain level or degree of physical or exerted force strength in relation to another entity or 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.