Triple
T5892273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 栗林忠道 |
E131017
|
entity |
| Predicate | 軍事的評価 |
P24407
|
FINISHED |
| Object | 防御戦術に優れた指揮官 |
—
|
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: 防御戦術に優れた指揮官 | Statement: [栗林忠道, 軍事的評価, 防御戦術に優れた指揮官]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 軍事的評価 Context triple: [栗林忠道, 軍事的評価, 防御戦術に優れた指揮官]
-
A.
militaryImportance
Indicates the degree to which something is strategically or operationally significant to military objectives or capabilities.
-
B.
militaryReputation
chosen
Indicates the perceived standing or esteem of an entity based on its past or present military performance, conduct, or capabilities.
-
C.
militaryMeasure
Indicates a relationship where an entity undertakes, imposes, or is subject to a specific military-related action, policy, or operational measure.
-
D.
militaryEquivalence
Indicates that two or more entities possess comparable military capabilities, strength, or strategic power such that neither holds a clear military advantage over the other.
-
E.
militaryIssue
Indicates that one entity formally provides or distributes military-related items, orders, or directives to another entity.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.