Triple
T16617780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtiberina |
E403738
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Monterchi |
E797674
|
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: Monterchi | Statement: [Valtiberina, contains, Monterchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monterchi Context triple: [Valtiberina, contains, Monterchi]
-
A.
Monterchi
chosen
Monterchi is a small Tuscan hill town in central Italy, renowned for its picturesque medieval setting and Piero della Francesca’s famous fresco "Madonna del Parto."
-
B.
Montevarchi
Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
-
C.
Montemurlo
Montemurlo is a municipality in the Tuscany region of central Italy, known for its industrial activity and proximity to the city of Prato.
-
D.
Calenzana
Calenzana is a village in the Haute-Corse department of Corsica, France, known as a gateway to the island’s mountainous interior and a starting point for hiking and outdoor tourism.
-
E.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01481c3084819099e198c408bea464 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:17 a.m.