Triple
T22837101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of San Martino |
E565976
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Burano |
—
|
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: Burano | Statement: [Church of San Martino, locatedIn, Burano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burano Context triple: [Church of San Martino, locatedIn, Burano]
-
A.
Burano
chosen
Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
-
B.
Murano
Murano is an OpenStack project that provides an application catalog and orchestration framework for deploying and managing complex applications on OpenStack clouds.
-
C.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
D.
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.
-
E.
Giudecca
Giudecca is a long, narrow island in the Venetian Lagoon of Italy, known for its residential character, historic churches, and views across the water to central Venice.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.