Triple
T19870264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Theater (Vietnam War) |
E477495
|
entity |
| Predicate | includesOperationType |
P819
|
FINISHED |
| Object | land operations |
—
|
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: land operations | Statement: [Pacific Theater (Vietnam War), includesOperationType, land operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOperationType Context triple: [Pacific Theater (Vietnam War), includesOperationType, land operations]
-
A.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
-
B.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
C.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
D.
typeOfOperation
chosen
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
E.
notableOperationType
Indicates that an entity is associated with a specific type or category of operation that is considered notable or significant.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a2cc8481908d134b0b5cf79d06 |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.