Triple
T10362278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciutat Vella |
E244165
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | La Rambla |
E52791
|
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: La Rambla | Statement: [Ciutat Vella, hasLandmark, La Rambla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Rambla Context triple: [Ciutat Vella, hasLandmark, La Rambla]
-
A.
La Rambla
chosen
La Rambla is Barcelona’s most famous tree-lined pedestrian boulevard, renowned for its lively atmosphere, street performers, shops, and historic buildings connecting Plaça de Catalunya with the waterfront.
-
B.
Passeig de Gràcia
Passeig de Gràcia is a major, upscale avenue in Barcelona renowned for its luxury shops and landmark Modernist architecture.
-
C.
Gran Vía
Gran Vía is one of Madrid’s most famous and bustling avenues, known for its grand architecture, theaters, shops, and vibrant nightlife.
-
D.
Calle Arenal
Calle Arenal is a well-known pedestrian street in central Madrid that links Puerta del Sol with the Royal Palace area and is lined with shops, cafés, and historic buildings.
-
E.
Avenida de Aragón
Avenida de Aragón is a major thoroughfare in Madrid, Spain, known for connecting the city with the A-2 highway toward Zaragoza and the Madrid–Barajas Airport area.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e962f08c8190a7ac489dc524510d |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750bcf00081909b44ffa5df76aec1 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.