Triple
T19529079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte la Difensa |
E488610
|
entity |
| Predicate | hasNameInItalian |
P17612
|
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 la Difensa, hasNameInItalian, Monte La Difensa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte La Difensa Context triple: [Monte la Difensa, hasNameInItalian, 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 Granero
Monte Granero is a prominent mountain peak in the western Italian Alps, known for its rugged terrain and scenic alpine landscapes.
-
C.
Monte Toro
Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
-
D.
Monte Antola
Monte Antola is a prominent mountain in northern Italy known for its panoramic views and popular hiking routes within the Ligurian Apennines.
-
E.
Monte Ulía
Monte Ulía is a coastal mountain and natural viewpoint overlooking the Bay of Biscay, known for its scenic hiking trails and panoramic views of Donostia-San Sebastián in northern Spain.
- 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.