Triple
T11327359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cañar Province |
E268255
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Azogues |
E919340
|
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: Azogues | Statement: [Cañar Province, hasMajorCity, Azogues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azogues Context triple: [Cañar Province, hasMajorCity, Azogues]
-
A.
Azogues
chosen
Azogues is a city in southern Ecuador known as an administrative and commercial center in the Andean highlands.
-
B.
Franconville
Franconville is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and location within the Val-d'Oise department.
-
C.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
D.
Labé
Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
-
E.
Valette
Valette is a French surname most notably associated with Pierre-Adolphe Valette, an influential early 20th-century Impressionist painter and teacher in Manchester.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5564218bc8190bbaf9aceb69fdc26 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:32 p.m.