Triple
T13239334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ter |
E315238
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Ter, flowsThrough, Osona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osona Context triple: [Ter, flowsThrough, 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.
Guarao
Guarao is an indigenous language of the Warao people of the Orinoco Delta region in Venezuela.
-
C.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
D.
Reggiolo
Reggiolo is a small town in the Emilia-Romagna region of northern Italy, known as the birthplace of renowned football manager Carlo Ancelotti.
-
E.
Sorico
Sorico is a small municipality in the Province of Como in Lombardy, northern Italy, situated at the northern end of Lake Como near the mouth of the River Mera.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:23 p.m.