Triple
T13239313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onyar |
E315237
|
entity |
| Predicate | isFeatureOf |
P29386
|
FINISHED |
| Object | Girona cityscape |
E80146
|
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: Girona cityscape | Statement: [Onyar, isFeatureOf, Girona cityscape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girona cityscape Context triple: [Onyar, isFeatureOf, Girona cityscape]
-
A.
Girona
chosen
Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
-
B.
Madrid skyline
The Madrid skyline is the distinctive urban panorama of Spain’s capital, marked by historic landmarks and modern high-rises such as the Four Towers Business Area.
-
C.
Begur
Begur is a picturesque coastal town in Catalonia, Spain, known for its medieval hilltop castle, charming old quarter, and scenic beaches along the Costa Brava.
-
D.
Granollers, Spain
Granollers, Spain is a town in the province of Barcelona, Catalonia, known as an industrial and commercial center near the Montmeló Circuit de Barcelona-Catalunya.
-
E.
Igualada
Igualada is a historic town in Catalonia, Spain, known for its traditional textile and leather industries and its location near Barcelona.
- 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.