Triple
T19123174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminillo |
E468100
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Monte Terminillo |
—
|
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 Terminillo | Statement: [Terminillo, alsoKnownAs, Monte Terminillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Terminillo Context triple: [Terminillo, alsoKnownAs, Monte Terminillo]
-
A.
Monte Terminillo
chosen
Monte Terminillo is a prominent Apennine mountain in central Italy, known for its ski resorts and hiking trails.
-
B.
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.
-
C.
Monte Giano
Monte Giano is a mountain in the central Apennines of Italy, noted for its panoramic views and proximity to the historic town of Cittareale.
-
D.
Monte Tuscolo
Monte Tuscolo is a hill in the Alban Hills near modern Frascati in Italy, known for the ruins of the ancient Latin city of Tusculum and its historical villas and viewpoints over Rome.
-
E.
Monte Cotento
Monte Cotento is a notable mountain peak in central Italy, forming part of the Apennine range within the Simbruini Mountains.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cae37c81908692c7f83671229f |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.