Triple
T6864734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kani Doraku Dotonbori Honten |
E158368
|
entity |
| Predicate | signType |
P74189
|
FINISHED |
| Object | mechanical |
—
|
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: mechanical | Statement: [Kani Doraku Dotonbori Honten, signType, mechanical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signType Context triple: [Kani Doraku Dotonbori Honten, signType, mechanical]
-
A.
signatureType
Indicates the specific kind or category of a signature associated with an entity or action.
-
B.
signatoryType
Indicates the specific role or category of a party that has signed or formally agreed to a document, contract, or agreement.
-
C.
signText
Indicates that a sign bears or displays a particular textual content.
-
D.
signature
Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
-
E.
signatureWorkType
Indicates the specific category or type of work that serves as a defining or primary example associated with an entity.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.