Triple
T19529027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Camino |
E488609
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | 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: Monte Lungo | Statement: [Monte Camino, near, Monte Lungo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Lungo Context triple: [Monte Camino, near, Monte Lungo]
-
A.
Monte Lungo
chosen
Monte Lungo is the highest peak in Italy’s Berici Hills, a low mountain range in the Veneto region.
-
B.
Monte Leone
Monte Leone is a prominent mountain peak in the central Alps on the border between Switzerland and Italy, known for being the highest summit of the Lepontine Alps.
-
C.
Mignano Monte Lungo
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.
-
D.
Monte Lupone
Monte Lupone is a mountain peak in the Monti Lepini range of central Italy, known for its natural landscapes and hiking trails.
-
E.
Monte Tamaro
Monte Tamaro is a prominent mountain in the Swiss Alps known for its panoramic views, hiking and biking trails, and the modern Santa Maria degli Angeli chapel designed by architect Mario Botta.
- 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.