Triple
T18156283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sainte Devote |
E434638
|
entity |
| Predicate | cornerNumber |
P109332
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sainte Devote, cornerNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cornerNumber Context triple: [Sainte Devote, cornerNumber, 1]
-
A.
hasCornerCount
chosen
Indicates that an entity is associated with a specific number of corners.
-
B.
cornerRepresents
Indicates that a particular corner in a structure, diagram, or space stands for or symbolizes another element, concept, or feature.
-
C.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
-
D.
locatedAtCornerOf
Indicates that one entity is positioned at or forms the corner where two or more boundaries, edges, or intersecting paths meet.
-
E.
tracksPerCorner
Indicates the number of distinct tracks or lanes associated with each corner in a layout or design.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.