Triple
T21549258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Tiberina |
E531716
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Umbertide |
—
|
NE NERFINISHED |
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: Umbertide | Statement: [Val Tiberina, contains, Umbertide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbertide Context triple: [Val Tiberina, contains, Umbertide]
-
A.
Umbertide
chosen
Umbertide is a historic town in central Italy’s Umbria region, known for its medieval architecture and scenic position along the Tiber River.
-
B.
Spilamberto
Spilamberto is a historic town in northern Italy’s Emilia-Romagna region, known for its production of traditional balsamic vinegar and its medieval architecture.
-
C.
Urbino
Urbino is a historic hill town in Italy’s Marche region, renowned as a Renaissance cultural center and the birthplace of Raphael.
-
D.
Gubbio
Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb5917fb88190a8d37831cced75dc |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.