Triple
T20380185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichelino |
E497802
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Vinovo |
—
|
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: Vinovo | Statement: [Nichelino, hasNeighbour, Vinovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinovo Context triple: [Nichelino, hasNeighbour, Vinovo]
-
A.
Vinovo
chosen
Vinovo is a municipality in Italy’s Piedmont region, located near Turin and known for hosting Juventus’ training facilities and women’s team matches.
-
B.
Ivangrad
Ivangrad is the former name of the Montenegrin town now known as Berane, located in the northeastern part of the country.
-
C.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
D.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
-
E.
Konakovo
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b026e081909541e545886c8380 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.