Triple
T9209005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Arezzo |
E221062
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Valtiberina |
E712535
|
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: Valtiberina | Statement: [Province of Arezzo, hasTouristAttraction, Valtiberina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valtiberina Context triple: [Province of Arezzo, hasTouristAttraction, Valtiberina]
-
A.
Valtiberina
chosen
Valtiberina is a valley in central Italy, primarily in Tuscany and partly in Umbria, known for its scenic landscapes and historical towns along the upper Tiber River.
-
B.
Mucia
Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
-
C.
Raeti
The Raeti were an ancient Alpine people of central Europe, known from Roman sources for inhabiting the mountainous regions that later formed the Roman province of Raetia.
-
D.
Vercellana
Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
-
E.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e967508190acb962d37c390d68 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:26 p.m.