Triple
T22371367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Belluno |
E553047
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Monte Pelmo |
—
|
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: Monte Pelmo | Statement: [Province of Belluno, contains, Monte Pelmo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Pelmo Context triple: [Province of Belluno, contains, Monte Pelmo]
-
A.
Monte Pelmo
chosen
Monte Pelmo is a prominent mountain in the Dolomites of northeastern Italy, renowned for its massive block-like shape and popularity among hikers and climbers.
-
B.
Monte Petrella
Monte Petrella is a prominent mountain peak in central Italy, known for its scenic views over the Tyrrhenian coast and the surrounding Aurunci range.
-
C.
Monte Acquaviva
Monte Acquaviva is a prominent mountain summit in Italy’s Apennine range, forming part of the rugged Maiella massif in the Abruzzo region.
-
D.
Monte Gemma
Monte Gemma is a mountain peak in central Italy that forms part of the rugged Monti Lepini range in the Lazio region.
-
E.
Monte Gorzano
Monte Gorzano is a prominent peak in the central Apennines of Italy, straddling the regions of Lazio and Abruzzo and popular for hiking and alpine scenery.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15803e7208190ba14c91fb90e15ca |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.