Triple
T12635430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valfurva |
E301749
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Fumero |
E593226
|
NE FINISHED |
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: Fumero | Statement: [Valfurva, hasSubdivision, Fumero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fumero Context triple: [Valfurva, hasSubdivision, Fumero]
-
A.
Fumero
chosen
Fumero is a Spanish-origin surname most notably associated with American actress Melissa Fumero.
-
B.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
-
C.
Amato
Amato is an Italian surname borne by various notable figures in politics, arts, and sports.
-
D.
Rauch
Rauch is a German-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Ferriero
Ferriero is a surname most notably associated with David S. Ferriero, the 10th Archivist of the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610fab488190ac6e6d5cf056ae37 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66871998c8190af8bd3f9ec596ada |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:16 p.m.