Triple
T7544804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grosseto |
E178373
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Maremma |
E294040
|
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: Maremma | Statement: [Grosseto, locatedInRegion, Maremma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maremma Context triple: [Grosseto, locatedInRegion, Maremma]
-
A.
Maremma region
chosen
The Maremma region is a coastal area of southwestern Tuscany and northern Lazio in Italy, known for its wild landscapes, medieval hill towns, and traditional agriculture.
-
B.
Senigallia
Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
-
C.
Ala Littoria
Ala Littoria was the Italian national airline of the Fascist era, operating both domestic and international routes in the 1930s and early 1940s.
-
D.
Valsesia
Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
-
E.
Massa Marittima
Massa Marittima is a historic Tuscan hill town in central Italy known for its medieval architecture, including a notable cathedral and well-preserved old town.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b93188819080c769a2a1b122f4 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:48 p.m.