Triple
T19529028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Camino |
E488609
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Monte la Difensa |
—
|
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 la Difensa | Statement: [Monte Camino, near, Monte la Difensa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte la Difensa Context triple: [Monte Camino, near, Monte la Difensa]
-
A.
Monte la Difensa
chosen
Monte la Difensa is a strategically important mountain in Italy that was the site of intense fighting during the Italian Campaign of World War II.
-
B.
Monte Amaro
Monte Amaro is a prominent peak in Italy’s Apennine Mountains, known for its rugged limestone landscapes and popularity among hikers and mountaineers.
-
C.
Monte Francés
Monte Francés is a mountain that forms the highest peak on Isla Hoste in the remote southern region of Chilean Patagonia.
-
D.
Monte Grande
Monte Grande is a suburban city in the Buenos Aires metropolitan area of Argentina, known as the administrative seat of the Esteban Echeverría Partido.
-
E.
Montecreto
Montecreto is a small municipality in the Emilia-Romagna region of northern Italy, situated in the Apennine Mountains within the Province of Modena.
- 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.