Triple
T16617727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpe di Catenaia |
E403736
|
entity |
| Predicate | accessFrom |
P1985
|
FINISHED |
| Object |
Subbiano
Subbiano is a small town and comune in the province of Arezzo in Tuscany, central Italy, situated along the Arno River.
|
E1225807
|
NE FINISHED |
How this triple was built (4 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: Subbiano | Statement: [Alpe di Catenaia, accessFrom, Subbiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subbiano Context triple: [Alpe di Catenaia, accessFrom, Subbiano]
-
A.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
B.
Albuccione
Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
C.
Montoro
Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
-
D.
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
-
E.
Moncalvo
Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Subbiano Triple: [Alpe di Catenaia, accessFrom, Subbiano]
Generated description
Subbiano is a small town and comune in the province of Arezzo in Tuscany, central Italy, situated along the Arno River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Subbiano Target entity description: Subbiano is a small town and comune in the province of Arezzo in Tuscany, central Italy, situated along the Arno River.
-
A.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
B.
Albuccione
Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
C.
Montoro
Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
-
D.
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
-
E.
Moncalvo
Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
- F. None of above. chosen
Provenance (5 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b40c288190afda6c7643b61e85 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008585ba6c8190b5c870ebe1c93ffc |
completed | May 10, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008624706881909e9a265a37eeb3fc |
completed | May 10, 2026, 1:20 p.m. |
Created at: April 10, 2026, 5:17 a.m.