Triple
T25399960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪城 |
E636391
|
entity |
| Predicate | 築城の目的 |
P40127
|
FINISHED |
| Object | 天下統一の拠点とするため |
—
|
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: 天下統一の拠点とするため | Statement: [大阪城, 築城の目的, 天下統一の拠点とするため]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 築城の目的 Context triple: [大阪城, 築城の目的, 天下統一の拠点とするため]
-
A.
purposeOfConstruction
chosen
Indicates that one entity was constructed or built in order to serve, enable, or fulfill the function, goal, or intended use represented by another entity.
-
B.
castleBuiltFor
Indicates that a castle was constructed specifically for the benefit, use, or commission of a particular person, group, or purpose.
-
C.
goalOfCity
Indicates that a particular objective, purpose, or target is associated with or pursued by a given city.
-
D.
towerPurpose
Indicates the primary function or intended use that a tower is designed or employed to serve.
-
E.
goalOfRevitalization
Indicates an effort or initiative aimed at restoring, renewing, or strengthening something that has declined or weakened.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f584f978a881909842e36f61b9a40a |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:50 p.m.