Triple
T21467774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talfer |
E529636
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Talfer |
—
|
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: Talfer | Statement: [Talfer, hasNameInGerman, Talfer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talfer Context triple: [Talfer, hasNameInGerman, Talfer]
-
A.
Talfer
chosen
The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
-
B.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
-
C.
Tuchan
Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
-
D.
Taborio
Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
-
E.
Siersthal
Siersthal is a small commune in northeastern France, located in the Moselle department within the historical region of Lorraine.
- 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.