Triple
T2280308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothic Quarter |
E51264
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | La Barceloneta |
E51269
|
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 Barceloneta | Statement: [Gothic Quarter, borders, La Barceloneta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Barceloneta Context triple: [Gothic Quarter, borders, La Barceloneta]
-
A.
Sant Antoni de Portmany
Sant Antoni de Portmany is a coastal town on the Spanish island of Ibiza, known for its vibrant nightlife, beaches, and sunset views.
-
B.
Barceloneta Beach
chosen
Barceloneta Beach is one of Barcelona’s most popular urban beaches, known for its lively promenade, golden sand, and Mediterranean waterfront.
-
C.
El Born neighbourhood
El Born neighbourhood is a historic and trendy district in Barcelona known for its medieval streets, vibrant nightlife, cultural landmarks, and boutique shops.
-
D.
Montjuïc
Montjuïc is a prominent hill in Barcelona known for its historic fortress, museums, gardens, and panoramic views over the city and harbor.
-
E.
Ciutat Vella
Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21ac3d48190abef254e1c3f45e8 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f11ea248190be3092985edcb29b |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.