Triple
T34466912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Mary of the Pine |
E884795
|
entity |
| Predicate | linkedBuildingName |
P33183
|
FINISHED |
| Object | Basílica de Santa Maria del Pi, Barcelona |
—
|
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: Basílica de Santa Maria del Pi, Barcelona | Statement: [Saint Mary of the Pine, linkedBuildingName, Basílica de Santa Maria del Pi, Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedBuildingName Context triple: [Saint Mary of the Pine, linkedBuildingName, Basílica de Santa Maria del Pi, Barcelona]
-
A.
attachedBuilding
Indicates that one building is physically connected to or joined with another building as part of the same structural complex.
-
B.
refersToBuildingOn
Indicates that one entity explicitly references or designates a specific building as its subject or target.
-
C.
linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
-
D.
buildingNamed
chosen
Indicates that a particular building is known or referred to by a specified name.
-
E.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 1, 2026, 2:01 a.m.