Triple
T10913006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esplugues de Llobregat |
E257747
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Sant Just Desvern |
E261000
|
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 Just Desvern | Statement: [Esplugues de Llobregat, borders, Sant Just Desvern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sant Just Desvern Context triple: [Esplugues de Llobregat, borders, Sant Just Desvern]
-
A.
Sant Just Desvern
chosen
Sant Just Desvern is a municipality in the metropolitan area of Barcelona, Spain, known for its residential character and proximity to the Collserola hills.
-
B.
Benicàssim
Benicàssim is a coastal town in eastern Spain best known for its Mediterranean beaches and the annual Festival Internacional de Benicàssim (FIB) music festival.
-
C.
Vilanova i la Geltrú
Vilanova i la Geltrú is a coastal city in Catalonia, Spain, known for its Mediterranean beaches, cultural festivals, and role as a regional educational and industrial hub.
-
D.
Calella
Calella is a coastal town and popular tourist destination on the Mediterranean in the Maresme comarca of Catalonia, Spain.
-
E.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707310b0819092d0140acc3c64ba |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373f38cfc8190977d1a59c31dac5f |
completed | April 18, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:22 p.m.