Triple
T23050483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palazzo da Mula |
E573996
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Murano |
—
|
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: Murano | Statement: [Palazzo da Mula, location, Murano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murano Context triple: [Palazzo da Mula, location, Murano]
-
A.
Murano
Murano is an OpenStack project that provides an application catalog and orchestration framework for deploying and managing complex applications on OpenStack clouds.
-
B.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
C.
Murano island
chosen
Murano island is a Venetian island in Italy renowned worldwide for its centuries-old tradition of glassmaking and artisan glass workshops.
-
D.
Burano
Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
-
E.
Lido di Venezia
Lido di Venezia is a long, narrow barrier island in the Venetian Lagoon known for its beaches, luxury hotels, and hosting the Venice Film Festival.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.