Triple
T16290464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roda de Ter |
E395506
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Osona |
E250812
|
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: Osona | Statement: [Roda de Ter, locatedIn, Osona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osona Context triple: [Roda de Ter, locatedIn, Osona]
-
A.
Osona
chosen
Osona is a historical inland comarca in Catalonia, Spain, known for its rural landscapes, medieval towns, and the city of Vic as its main urban center.
-
B.
Resega
Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
-
C.
Guarao
Guarao is an indigenous language of the Warao people of the Orinoco Delta region in Venezuela.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Bardineto
Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2491821d0819086cffdd7551ba85a |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f94ede48190835e8a0c6f5d0f19 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.