Triple
T23850154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Americanization of the Vietnam War |
E592138
|
entity |
| Predicate | hasApproximateTroopLevel |
P87717
|
FINISHED |
| Object | over 500000 U.S. troops at peak |
—
|
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 500000 U.S. troops at peak | Statement: [Americanization of the Vietnam War, hasApproximateTroopLevel, over 500000 U.S. troops at peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateTroopLevel Context triple: [Americanization of the Vietnam War, hasApproximateTroopLevel, over 500000 U.S. troops at peak]
-
A.
hasUnitLevel
Indicates that something is associated with, measured at, or applicable to a specific unit level within a larger hierarchy or scale.
-
B.
hasApproximateDefendingForceSize
chosen
Indicates that an entity is associated with a defending force whose size is known only approximately rather than as an exact value.
-
C.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
D.
intendedPlayerLevel
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
-
E.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c986f7e08190a6d361423946ff05 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.