Triple
T27017339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza Eremitani |
E680569
|
entity |
| Predicate | hasCivicMuseumComplex |
P37091
|
FINISHED |
| Object | Musei Civici agli Eremitani |
—
|
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: Musei Civici agli Eremitani | Statement: [Piazza Eremitani, hasCivicMuseumComplex, Musei Civici agli Eremitani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivicMuseumComplex Context triple: [Piazza Eremitani, hasCivicMuseumComplex, Musei Civici agli Eremitani]
-
A.
hasMemorialMuseum
Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
-
B.
hasMuseumAt
chosen
Indicates that a museum is located at or exists in a specified place or location.
-
C.
hasNumberOfMuseums
Indicates the quantity of museums associated with a given entity.
-
D.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
-
E.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 7:06 a.m.