Triple
T29453401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José de Ribas |
E747035
|
entity |
| Predicate | helpedDesign |
P30900
|
FINISHED |
| Object | Odesa |
—
|
NE NERFINISHED |
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: Odesa | Statement: [José de Ribas, helpedDesign, Odesa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedDesign Context triple: [José de Ribas, helpedDesign, Odesa]
-
A.
helpsDesign
chosen
Indicates that one entity assists or contributes to another entity’s design or design process.
-
B.
designCollaboration
Indicates a collaborative relationship in which two or more entities jointly participate in the design process or co-create a design outcome.
-
C.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
D.
designCheck
Indicates that an entity performs a review or verification of a design to ensure it meets specified requirements or standards.
-
E.
helpsBuild
Indicates that one entity assists or contributes to the construction, creation, or development of another entity.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b69acc08190b571a81fb53cf718 |
completed | May 2, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:34 p.m.