Triple
T6543142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koh Tang |
E168338
|
entity |
| Predicate | eventCharacterization |
P13178
|
FINISHED |
| Object | last major U.S. combat action of the Vietnam War |
—
|
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: last major U.S. combat action of the Vietnam War | Statement: [Koh Tang, eventCharacterization, last major U.S. combat action of the Vietnam War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventCharacterization Context triple: [Koh Tang, eventCharacterization, last major U.S. combat action of the Vietnam War]
-
A.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
B.
eventRole
Indicates the specific function, capacity, or part an entity plays within an event or occurrence.
-
C.
eventDescription
chosen
Indicates that a textual summary or explanation is provided describing what happens in the event.
-
D.
scopeCharacterization
Indicates how the extent, boundaries, or coverage of something is defined, described, or qualified in relation to another entity or context.
-
E.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.