Triple
T10804414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mataró |
E254926
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Maresme |
E250808
|
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: Maresme | Statement: [Mataró, locatedIn, Maresme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maresme Context triple: [Mataró, locatedIn, Maresme]
-
A.
Maresme
chosen
Maresme is a coastal comarca in Catalonia, Spain, known for its Mediterranean beaches, mild climate, and proximity to Barcelona.
-
B.
Llobregat Delta
Llobregat Delta is a coastal wetland and river delta area near Barcelona, Spain, known for its ecological importance, bird habitats, and agricultural lands.
-
C.
Terres de l’Ebre
Terres de l’Ebre is a southern Catalan region in Spain known for the Ebro River delta, rich wetlands, and distinctive agricultural and natural landscapes.
-
D.
Terra Alta
Terra Alta is a rural comarca in southern Catalonia, Spain, known for its wine production and as a major battleground during the Spanish Civil War.
-
E.
Ebro Delta
The Ebro Delta is a large wetland and river delta in northeastern Spain known for its rich biodiversity, rice fields, and important bird habitats along the Mediterranean coast.
- 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_69de567a7ea0819088a2fa10f8367d89 |
completed | April 14, 2026, 3 p.m. |
Created at: April 8, 2026, 9:18 p.m.