Triple
T13303222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironès |
E316865
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vilobí d’Onyar |
E1028488
|
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: Vilobí d’Onyar | Statement: [Gironès, contains, Vilobí d’Onyar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilobí d’Onyar Context triple: [Gironès, contains, Vilobí d’Onyar]
-
A.
Vilobí d’Onyar
chosen
Vilobí d’Onyar is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its rural character and proximity to Girona–Costa Brava Airport.
-
B.
Besòs
Besòs is a district in northeastern Barcelona, Spain, located near the mouth of the Besòs River and served as a terminus for the Trambesòs tram network.
-
C.
El Prat de Llobregat
El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
-
D.
El Born
El Born is a historic and trendy neighborhood in Barcelona known for its medieval streets, vibrant nightlife, boutiques, and cultural landmarks like the Picasso Museum and Santa Maria del Mar.
-
E.
La Sagrera
La Sagrera is a major multimodal transport hub in Barcelona that serves as an interchange between several metro lines, commuter trains, and future high-speed rail services.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305fd57881909c1d7f09f3c084cf |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:28 p.m.