Triple
T21100150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marche wine region |
E519878
|
entity |
| Predicate | notableSubregion |
P9956
|
FINISHED |
| Object | Matelica |
—
|
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: Matelica | Statement: [Marche wine region, notableSubregion, Matelica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matelica Context triple: [Marche wine region, notableSubregion, Matelica]
-
A.
Matelica
chosen
Matelica is a historic town in Italy’s Marche region known for its medieval architecture, wine production, and scenic Apennine surroundings.
-
B.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
C.
Slanica
Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
-
D.
Gelnica
Gelnica is a historic mining town in eastern Slovakia known for its medieval heritage and location in the Slovak Ore Mountains.
-
E.
Maroško
Maroško is a literary work by Slovak writer Martin Rázus, known as a classic of early 20th-century Slovak literature.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5cef408190821d345417b77116 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.