Triple
T3583143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 近藤信竹 |
E75846
|
entity |
| Predicate | 軍令部での地位 |
P9463
|
FINISHED |
| Object | 軍令部次長 |
—
|
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: 軍令部次長 | Statement: [近藤信竹, 軍令部での地位, 軍令部次長]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 軍令部での地位 Context triple: [近藤信竹, 軍令部での地位, 軍令部次長]
-
A.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
B.
wasMilitaryHeadquartersOf
Indicates that a place or facility served as the main command center or headquarters for a specific military force or organization.
-
C.
hasMilitaryDivision
Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
-
D.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
E.
isPartOfChainOfCommand
Indicates that one entity holds a position within a hierarchical authority structure in which it is subordinate to, or otherwise organized under, another entity in the chain of command.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.