Triple
T21197604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Sealords |
E522365
|
entity |
| Predicate | transferProcess |
P117247
|
FINISHED |
| Object | phased Vietnamization of naval 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: phased Vietnamization of naval operations | Statement: [Operation Sealords, transferProcess, phased Vietnamization of naval operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferProcess Context triple: [Operation Sealords, transferProcess, phased Vietnamization of naval operations]
-
A.
transportProcess
chosen
Indicates a process in which something is moved or carried from one place, state, or medium to another.
-
B.
transferAfter
Indicates that one entity transfers something to another entity only after a specified event or condition has occurred.
-
C.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
-
D.
transferFeature
Indicates a relationship where a feature, attribute, or capability is moved or reassigned from one entity to another.
-
E.
transferComplex
Indicates the movement or relocation of a multi-component entity or system from one context, location, or state to another.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333c9bac8190a203802a8b8e4143 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:14 p.m.