Triple
T19238980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catán Lil Department |
E481078
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Aluminé Department |
—
|
NE NERFINISHED |
How this triple was built (3 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: Aluminé Department | Statement: [Catán Lil Department, borders, Aluminé Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aluminé Department Context triple: [Catán Lil Department, borders, Aluminé Department]
-
A.
Vichada Department
Vichada Department is a sparsely populated region in eastern Colombia known for its vast plains, tropical forests, and location within the Orinoquía natural region along the Orinoco River.
-
B.
Zapala Department
Zapala Department is an administrative division in central Neuquén Province, Argentina, known for its strategic location as a transport and commercial hub in the Patagonian region.
-
C.
Famatina Department
Famatina Department is an administrative division in La Rioja Province, Argentina, known for its mountainous terrain and proximity to the Famatina mountain range.
-
D.
Senguer Department
Senguer Department is an administrative division in the Chubut Province of southern Argentina, known for its Patagonian landscapes and rural communities.
-
E.
Mayo-Louti Department
Mayo-Louti Department is an administrative division in northern Cameroon known for its predominantly rural communities and location near the border with Nigeria.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aluminé Department Target entity description: Aluminé Department is an administrative division in Neuquén Province, Argentina, known for its Andean landscapes, lakes, and Mapuche cultural presence.
-
A.
Vichada Department
Vichada Department is a sparsely populated region in eastern Colombia known for its vast plains, tropical forests, and location within the Orinoquía natural region along the Orinoco River.
-
B.
Zapala Department
Zapala Department is an administrative division in central Neuquén Province, Argentina, known for its strategic location as a transport and commercial hub in the Patagonian region.
-
C.
Famatina Department
Famatina Department is an administrative division in La Rioja Province, Argentina, known for its mountainous terrain and proximity to the Famatina mountain range.
-
D.
Senguer Department
Senguer Department is an administrative division in the Chubut Province of southern Argentina, known for its Patagonian landscapes and rural communities.
-
E.
Mayo-Louti Department
Mayo-Louti Department is an administrative division in northern Cameroon known for its predominantly rural communities and location near the border with Nigeria.
- F. None of above. chosen
Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faef827c81909157bbcd4060dfc9 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.