Triple
T10804750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eixample |
E254931
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sant Antoni |
E871703
|
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: Sant Antoni | Statement: [Eixample, hasPart, Sant Antoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sant Antoni Context triple: [Eixample, hasPart, Sant Antoni]
-
A.
Sant Antoni
chosen
Sant Antoni is a Barcelona Metro station on line 2 located in the central Eixample district, serving the surrounding residential and commercial area.
-
B.
Sant Roc
Sant Roc is a Barcelona Metro station serving the Sant Roc neighborhood in the city of Badalona, within the Barcelona metropolitan area.
-
C.
Sant Pere Màrtir
Sant Pere Màrtir is a notable religious landmark in the Catalan city of Manresa, recognized for its historical and cultural significance in the region.
-
D.
Sant Ildefons
Sant Ildefons is a Barcelona Metro station serving the municipality of Cornellà de Llobregat in the metropolitan area of Barcelona, Spain.
-
E.
Sant Martí
Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73370e7388190885b104fc883456e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de850209ac8190a7bf3a6d429d1217 |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:18 p.m.