Triple
T36296847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Mary above Minerva |
E893392
|
entity |
| Predicate | hasFountainOrMonumentInFront |
P126713
|
FINISHED |
| Object | Bernini’s elephant and obelisk |
—
|
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: Bernini’s elephant and obelisk | Statement: [Saint Mary above Minerva, hasFountainOrMonumentInFront, Bernini’s elephant and obelisk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFountainOrMonumentInFront Context triple: [Saint Mary above Minerva, hasFountainOrMonumentInFront, Bernini’s elephant and obelisk]
-
A.
hasPublicSquareInFront
Indicates that a building or structure has a public square located directly in front of it.
-
B.
hasMonumentInCenter
chosen
Indicates that a place or area has a monument located at its central point or main focal area.
-
C.
isPublicMonument
Indicates that something is officially designated, accessible, and recognized as a monument in a public space.
-
D.
hasPrimaryMonument
Indicates that an entity is associated with its main or most significant monument.
-
E.
hasMonumentFunction
Indicates that something serves the role or purpose of a monument, such as commemorating, honoring, or symbolizing a person, event, or idea.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 3, 2026, 4:09 p.m.