Triple
T28219168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatenokai |
E711401
|
entity |
| Predicate | actionDuringIncident |
P145080
|
FINISHED |
| Object | seizure of a Self-Defense Forces commander |
—
|
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: seizure of a Self-Defense Forces commander | Statement: [Tatenokai, actionDuringIncident, seizure of a Self-Defense Forces commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionDuringIncident Context triple: [Tatenokai, actionDuringIncident, seizure of a Self-Defense Forces commander]
-
A.
missionDuringIncident
chosen
Indicates that a mission or operation took place concurrently with, or in the context of, a specific incident.
-
B.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
C.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
D.
sawActionDuring
Indicates that one entity observed an action or event occurring within a specific time period or during another event.
-
E.
incidentName
Indicates the specific name or label assigned to an incident within a system or context.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6434f9f888190bd43fde92cd729fe |
completed | May 2, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:45 p.m.