Triple
T24652912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Sant Bartomeu |
E610302
|
entity |
| Predicate | isOnSquare |
P136639
|
FINISHED |
| Object | Plaça de la Constitució |
—
|
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: Plaça de la Constitució | Statement: [Church of Sant Bartomeu, isOnSquare, Plaça de la Constitució]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnSquare Context triple: [Church of Sant Bartomeu, isOnSquare, Plaça de la Constitució]
-
A.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
B.
isOnTownSquare
chosen
Indicates that one entity is located on or within the area designated as the town square of a settlement.
-
C.
hasPositionOn
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
D.
hasNearbySquare
Indicates that one entity has at least one square-shaped entity located close to it in space.
-
E.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.