Triple
T6484182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinano |
E146466
|
entity |
| Predicate | serviceDuration |
P17164
|
FINISHED |
| Object | 10 days in commission |
—
|
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: 10 days in commission | Statement: [Shinano, serviceDuration, 10 days in commission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceDuration Context triple: [Shinano, serviceDuration, 10 days in commission]
-
A.
serviceDuring
Indicates that one entity performs or provides a service for another entity during a specified time period or event.
-
B.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
C.
banDurationApproximate
Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
-
D.
serviceEntryPeriod
chosen
Indicates the span of time during which a service is active, valid, or in effect for the related entities.
-
E.
serviceAge
Indicates the length of time an entity has been in service or actively performing its role.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.