Triple
T13303212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironès |
E316865
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sant Martí Vell |
E1028940
|
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 Martí Vell | Statement: [Gironès, contains, Sant Martí Vell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sant Martí Vell Context triple: [Gironès, contains, Sant Martí Vell]
-
A.
Sant Martí Vell
chosen
Sant Martí Vell is a small historic village in the Gironès region of Catalonia, Spain, known for its rural charm and traditional Catalan architecture.
-
B.
Sant Martí
Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
-
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 Pere
Sant Pere is a historic neighborhood in central Barcelona, known for its medieval streets, cultural landmarks, and proximity to the city’s old town.
-
E.
Sant Martí de Tous
Sant Martí de Tous is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural character and historic castle.
- 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_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.