Triple
T10141445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Grosseto |
E231592
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Orbetello |
E458852
|
NE FINISHED |
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: Orbetello | Statement: [Province of Grosseto, contains, Orbetello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orbetello Context triple: [Province of Grosseto, contains, Orbetello]
-
A.
Orbetello
chosen
Orbetello is a coastal town and lagoon in Tuscany, central Italy, known historically as a seaplane base and military aviation hub.
-
B.
Rosignano Marittimo
Rosignano Marittimo is a coastal town and comune in Tuscany, central Italy, known for its seaside resorts and proximity to the Tyrrhenian Sea.
-
C.
Marina di Massa
Marina di Massa is a seaside town and popular tourist resort on the Tuscan coast of northwestern Italy, known for its beaches and proximity to the Apuan Alps.
-
D.
Cervia
Cervia is a coastal town and popular seaside resort on the Adriatic Sea in Italy’s Emilia-Romagna region, known for its historic salt pans and beaches.
-
E.
Quarrata
Quarrata is a Tuscan town in central Italy known for its furniture industry and proximity to the cities of Pistoia and Florence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e603d4548190a561e735c603946f |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.