Triple
T23850155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Americanization of the Vietnam War |
E592138
|
entity |
| Predicate | peakTroopLevelYear |
P18122
|
FINISHED |
| Object | 1968 |
—
|
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: 1968 | Statement: [Americanization of the Vietnam War, peakTroopLevelYear, 1968]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakTroopLevelYear Context triple: [Americanization of the Vietnam War, peakTroopLevelYear, 1968]
-
A.
peakYear
chosen
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
B.
elevationYear
Indicates the year in which an entity was elevated to a higher status, rank, or designation.
-
C.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
D.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
tradeYear
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
- 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.