Triple
T14932958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hikone |
E372313
|
entity |
| Predicate | hasPreservedStructure |
P89806
|
FINISHED |
| Object | original castle keep of Hikone Castle |
—
|
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: original castle keep of Hikone Castle | Statement: [Hikone, hasPreservedStructure, original castle keep of Hikone Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreservedStructure Context triple: [Hikone, hasPreservedStructure, original castle keep of Hikone Castle]
-
A.
hasConservationStructure
Indicates that something possesses or is associated with a structure specifically intended for conservation or preservation purposes.
-
B.
hasStructureHistory
Indicates that there exists a record or account detailing the past states, changes, or development of a structure over time.
-
C.
hasSignificantStructure
Indicates that an entity possesses a structure or internal organization that is notably complex, important, or meaningful in a given context.
-
D.
somePreservedAs
chosen
Indicates that at least one part or instance of an entity is kept or maintained in a particular state, form, or condition.
-
E.
hasPreservedMachinery
Indicates that an entity retains machinery that has been kept in its original or functional condition rather than removed or replaced.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:37 a.m.