Triple
T26985673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiln People |
E679729
|
entity |
| Predicate | copyTerm |
P77268
|
FINISHED |
| Object | ditto |
—
|
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: ditto | Statement: [Kiln People, copyTerm, ditto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyTerm Context triple: [Kiln People, copyTerm, ditto]
-
A.
copyType
chosen
Indicates that one entity is a copy or duplication of another, specifying the type or manner of that copying relationship.
-
B.
componentTerm
Indicates that one term functions as a component or constituent part of another term within a larger conceptual or structural whole.
-
C.
copyLocation
Indicates that one entity is located at the same place or position as another, typically as the result of a copying or duplication action.
-
D.
ownedTermBy
Indicates that a specific term is possessed, controlled, or held in ownership by a particular entity.
-
E.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6215954f8819092cf882ca976fafa |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:48 a.m.