Triple
T10174377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Massa-Carrara |
E235812
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tresana
Tresana is a small municipality in the Tuscany region of central Italy, known for its rural landscape and historic hilltop settlements.
|
E846107
|
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: Tresana | Statement: [Province of Massa-Carrara, contains, Tresana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tresana Context triple: [Province of Massa-Carrara, contains, Tresana]
-
A.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
B.
Sistiana
Sistiana is a coastal village in northeastern Italy’s Friuli-Venezia Giulia region, known for its scenic bay on the Adriatic Sea and proximity to the historic Duino Castle.
-
C.
Troistín
Troistín is the Irish-language name for Trostan, the highest mountain in County Antrim, Northern Ireland.
-
D.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
E.
Tarëno
Tarëno is an alternative name for the Tiriyó language, a Cariban language spoken by the Tiriyó people in parts of Brazil and Suriname.
- 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: Tresana Triple: [Province of Massa-Carrara, contains, Tresana]
Generated description
Tresana is a small municipality in the Tuscany region of central Italy, known for its rural landscape and historic hilltop settlements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tresana Target entity description: Tresana is a small municipality in the Tuscany region of central Italy, known for its rural landscape and historic hilltop settlements.
-
A.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
B.
Sistiana
Sistiana is a coastal village in northeastern Italy’s Friuli-Venezia Giulia region, known for its scenic bay on the Adriatic Sea and proximity to the historic Duino Castle.
-
C.
Troistín
Troistín is the Irish-language name for Trostan, the highest mountain in County Antrim, Northern Ireland.
-
D.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
E.
Tarëno
Tarëno is an alternative name for the Tiriyó language, a Cariban language spoken by the Tiriyó people in parts of Brazil and Suriname.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3011742b48190bc8b8b6ba03c32b0 |
completed | April 6, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d3028994fc81908507449a10e7e093 |
completed | April 6, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3031ed1e88190b9906338285a6e46 |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:11 p.m.