Triple
T10769200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallès Oriental |
E254029
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Moianès |
E254030
|
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: Moianès | Statement: [Vallès Oriental, borders, Moianès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moianès Context triple: [Vallès Oriental, borders, Moianès]
-
A.
Moianès
chosen
Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
-
B.
Montsià
Montsià is a comarca (county) in the southern part of Catalonia, Spain, known for its Mediterranean coastline, rice fields in the Ebro Delta, and agricultural landscapes.
-
C.
Montmaneu
Montmaneu is a small municipality located in the Anoia comarca of Catalonia, Spain.
-
D.
Ruinès
Ruinès is a small commune in the Cantal department of south-central France, known for its proximity to the historic Garabit Viaduct spanning the Truyère River.
-
E.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
- 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.