Triple
T7465713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation New Dawn |
E176366
|
entity |
| Predicate | reducedTroopLevels |
P13942
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Operation New Dawn, reducedTroopLevels, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedTroopLevels Context triple: [Operation New Dawn, reducedTroopLevels, yes]
-
A.
reducedPopulationOf
Indicates a relationship where one entity has caused a decrease in the size or number of individuals in a population of another entity.
-
B.
restrictedArmySizeOf
chosen
Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
-
C.
numberOfTroopsInvolved
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
-
D.
hasCrewReductionComparedTo
Indicates that one entity operates with a smaller crew size compared to another entity.
-
E.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f412908190ac910ecae682d6f6 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:40 p.m.