Triple
T18989573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamuthones |
E464646
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mamoiada |
—
|
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: Mamoiada | Statement: [Mamuthones, associatedWith, Mamoiada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamoiada Context triple: [Mamuthones, associatedWith, Mamoiada]
-
A.
Mamoiada
chosen
Mamoiada is a traditional Sardinian town in central Italy renowned for its ancient Carnival masks and strong wine-making culture.
-
B.
Massarosa
Massarosa is a Tuscan town and municipality in central Italy known for its lakeside landscapes and proximity to the Versilia coastal area.
-
C.
Bastia Umbra
Bastia Umbra is a town in the Umbria region of central Italy, located near Assisi and known for its position in the fertile Tiber Valley.
-
D.
Rocciamelone
Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
-
E.
Pampaneira
Pampaneira is a picturesque whitewashed village in Spain’s Alpujarras region, known for its traditional Berber-influenced architecture, mountain scenery, and artisan crafts.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d66272388190850a7e5dec165a01 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.