Triple
T21467775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talfer |
E529636
|
entity |
| Predicate | hasNameInItalian |
P17612
|
FINISHED |
| Object | Talvera |
—
|
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: Talvera | Statement: [Talfer, hasNameInItalian, Talvera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talvera Context triple: [Talfer, hasNameInItalian, Talvera]
-
A.
Talvera
chosen
Talvera is a river in northern Italy that flows through South Tyrol and joins the Adige near the city of Bolzano.
-
B.
Avilés
Avilés is a historic coastal city in northern Spain’s Asturias region, known for its medieval old town and long maritime and industrial heritage.
-
C.
Valverde de la Vera
Valverde de la Vera is a historic village in the province of Cáceres, Extremadura, Spain, known for its traditional architecture and scenic setting in the La Vera region.
-
D.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
E.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f415d48190a2b0993a4f3c018f |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:15 p.m.