Triple
T17550580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montecatini Terme |
E427449
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Pistoia |
—
|
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: Pistoia | Statement: [Montecatini Terme, locatedNear, Pistoia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pistoia Context triple: [Montecatini Terme, locatedNear, Pistoia]
-
A.
Pistoia
chosen
Pistoia is a historic Italian city known for its medieval architecture, vibrant cultural heritage, and location in the northern part of Tuscany.
-
B.
Merate
Merate is a town in the Lombardy region of northern Italy, known for its historic center and the Merate Astronomical Observatory.
-
C.
Parma
Parma is a suburban city located just southwest of Cleveland in northeastern Ohio, known as one of the largest cities in Cuyahoga County.
-
D.
Parma
Parma is a historic city in northern Italy renowned for its rich artistic heritage, architecture, and culinary traditions, including Parmigiano Reggiano cheese and Parma ham.
-
E.
Lesignano
Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454656dc08190bba85b93bd07b0a2 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.