Triple
T10668674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūichi Hara |
E251426
|
entity |
| Predicate | typeOfUnitCommanded |
P95229
|
FINISHED |
| Object | aircraft carrier |
—
|
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: aircraft carrier | Statement: [Chūichi Hara, typeOfUnitCommanded, aircraft carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfUnitCommanded Context triple: [Chūichi Hara, typeOfUnitCommanded, aircraft carrier]
-
A.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
B.
governsTypeOfUnit
Indicates that one entity has authority or control over the type or category of unit to which another entity belongs.
-
C.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
D.
militaryUnitOf
Indicates that one entity is a military unit that belongs to, is part of, or is under the command or organizational structure of another entity.
-
E.
typeOfFrontierUnit
Indicates that one unit is classified as a specific type or category of frontier unit in relation to another.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f860790c81909c2c1d3c489ec5b4 |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:09 p.m.