Triple
T19529110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Sammucro |
E488611
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Mignano Monte Lungo |
—
|
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: Mignano Monte Lungo | Statement: [Monte Sammucro, nearbySettlement, Mignano Monte Lungo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mignano Monte Lungo Context triple: [Monte Sammucro, nearbySettlement, Mignano Monte Lungo]
-
A.
Mignano Monte Lungo
chosen
Mignano Monte Lungo is a municipality in Italy’s Campania region, known for its strategic location in a mountain pass and its role in World War II battles.
-
B.
Monte Lungo
Monte Lungo is the highest peak in Italy’s Berici Hills, a low mountain range in the Veneto region.
-
C.
Monte Lupone
Monte Lupone is a mountain peak in the Monti Lepini range of central Italy, known for its natural landscapes and hiking trails.
-
D.
Monte San Pietrangeli
Monte San Pietrangeli is a small Italian town in the Marche region known for its traditional footwear industry and historic hilltop setting.
-
E.
Monte Rinaldo
Monte Rinaldo is a small historic hill town and comune in Italy’s Marche region, known for its rural landscape and archaeological remains from the Roman era.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363dfd6c8190aaa0b374184965bb |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.