Triple
T10769527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Laietana |
E254037
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | El Born |
E250826
|
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: El Born | Statement: [Via Laietana, separates, El Born]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Born Context triple: [Via Laietana, separates, El Born]
-
A.
El Born
chosen
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.
-
B.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
-
C.
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.
-
D.
Canigó
Canigó is a prominent mountain in the eastern Pyrenees of southern France, culturally significant to Catalan identity and often celebrated in regional literature and tradition.
-
E.
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.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732307fb88190ba1447f68523c58a |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23798af48190874d7e12c5155913 |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.