Triple
T7274682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Cavalry Division (Airmobile) |
E162994
|
entity |
| Predicate | statusAfterVietnamWar |
P76162
|
FINISHED |
| Object | reorganized as 1st Cavalry Division |
—
|
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: reorganized as 1st Cavalry Division | Statement: [1st Cavalry Division (Airmobile), statusAfterVietnamWar, reorganized as 1st Cavalry Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterVietnamWar Context triple: [1st Cavalry Division (Airmobile), statusAfterVietnamWar, reorganized as 1st Cavalry Division]
-
A.
impactOnVietnam
Indicates a relationship where one entity has an effect, influence, or consequence on Vietnam.
-
B.
positionOnVietnamWar
Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
-
C.
returnToVietnam
Indicates that an entity goes back to Vietnam after having been away.
-
D.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
E.
statusAfterColdWar
Indicates the condition or standing of an entity in the period following the end of the Cold War.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 2:58 p.m.