Triple
T27919051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Armed Forces in Afghanistan |
E706152
|
entity |
| Predicate | peakDeploymentStrength |
P163773
|
FINISHED |
| Object | over 100,000 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: over 100,000 troops | Statement: [United States Armed Forces in Afghanistan, peakDeploymentStrength, over 100,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakDeploymentStrength Context triple: [United States Armed Forces in Afghanistan, peakDeploymentStrength, over 100,000 troops]
-
A.
deploymentPeakNumber
Indicates the maximum number of deployments (or deployment instances) reached during a specified period or under given conditions.
-
B.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
-
C.
peakLoadContribution
Indicates the extent to which an entity’s usage or demand contributes to the maximum (peak) load within a system or network.
-
D.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
E.
peakContribution
Indicates the maximum level or amount that an entity contributes to another entity, process, or outcome within a given context.
- F. None of above. chosen
Provenance (4 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 6:55 p.m.