Triple
T5037133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 永野修身 |
E113452
|
entity |
| Predicate | 参加組織・会議 |
P60939
|
FINISHED |
| Object | 日独伊三国同盟に関する政府・軍首脳部 |
—
|
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: 日独伊三国同盟に関する政府・軍首脳部 | Statement: [永野修身, 参加組織・会議, 日独伊三国同盟に関する政府・軍首脳部]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 参加組織・会議 Context triple: [永野修身, 参加組織・会議, 日独伊三国同盟に関する政府・軍首脳部]
-
A.
convenesAs
Indicates that an entity brings together or assembles a group, body, or session in a particular role or capacity.
-
B.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
C.
convenesDuring
Indicates that one entity formally gathers or brings together another entity or group during a specified time period or event.
-
D.
committeeInvolved
Indicates that a committee participates in, contributes to, or is otherwise actively involved in a particular activity, decision, or process.
-
E.
convenes
Indicates bringing people or groups together to formally meet, discuss, or deliberate on a particular matter.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73617f348190b2fa68a0ef4fc7b1 |
completed | March 20, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:37 p.m.