Triple
T798953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Italy |
E17084
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Grosseto
Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
|
E178373
|
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: Grosseto | Statement: [Central Italy, containsCity, Grosseto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grosseto Context triple: [Central Italy, containsCity, Grosseto]
-
A.
Arezzo
Arezzo is an ancient Tuscan city in central Italy, historically significant as one of the principal centers of the Etruscan civilization and later a prominent medieval and Renaissance town.
-
B.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
C.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
D.
Terni
Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
-
E.
Viareggio
Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
- 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: Grosseto Triple: [Central Italy, containsCity, Grosseto]
Generated description
Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grosseto Target entity description: Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
-
A.
Arezzo
Arezzo is an ancient Tuscan city in central Italy, historically significant as one of the principal centers of the Etruscan civilization and later a prominent medieval and Renaissance town.
-
B.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
C.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
D.
Terni
Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
-
E.
Viareggio
Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b4d9548190aad5fdf1211cf8cd |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3ff724248190aacb72d105f0bb34 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40a795608190bcb4e0ac13417cc4 |
completed | March 8, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad410ccb448190b8b6096096660d79 |
completed | March 8, 2026, 9:27 a.m. |
Created at: March 1, 2026, 7:38 p.m.