Triple
T38468889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中将 |
E912653
|
entity |
| Predicate | modernEquivalentCountry |
P195802
|
FINISHED |
| Object | 自衛隊の将官階級に相当 |
—
|
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: 自衛隊の将官階級に相当 | Statement: [中将, modernEquivalentCountry, 自衛隊の将官階級に相当]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernEquivalentCountry Context triple: [中将, modernEquivalentCountry, 自衛隊の将官階級に相当]
-
A.
nationalityEquivalent
Indicates that two entities have equivalent or corresponding nationalities, treating them as the same for nationality-based reasoning.
-
B.
countryEquivalent
Indicates that two country entities are considered equivalent or represent the same country in the given context.
-
C.
countryAtTheTime
Indicates that an entity is associated with a specific country as it existed at a particular point in time.
-
D.
originalCountryNowKnownAs
Indicates that a country previously known by one name is now recognized under a different current country name.
-
E.
modernCountryOfCity
Indicates that a city is located within the borders of a specified modern-day country.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: May 3, 2026, 4:31 p.m.