Triple
T10128924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogotá River |
E226284
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Madrid, Cundinamarca |
E37562
|
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: Madrid, Cundinamarca | Statement: [Bogotá River, passesNear, Madrid, Cundinamarca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madrid, Cundinamarca Context triple: [Bogotá River, passesNear, Madrid, Cundinamarca]
-
A.
Madrid, Cundinamarca
chosen
Madrid, Cundinamarca is a municipality in central Colombia known for its floriculture and proximity to the capital city of Bogotá.
-
B.
Granada (Cundinamarca)
Granada (Cundinamarca) is a small municipality in the Cundinamarca Department of Colombia, located in the Andean region near the capital city of Bogotá.
-
C.
La Mesa, Cundinamarca
La Mesa, Cundinamarca is a municipality and town in the Cundinamarca Department of Colombia, known for its mild climate and location on a plateau overlooking the Tequendama region.
-
D.
Manizales
Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
-
E.
Ibagué
Ibagué is a city in central Colombia that serves as the capital of the Tolima Department and is known for its musical heritage and cultural festivals.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd333186c819088bbf617967f24fa |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc72848481909dcbfc9fe3f6d379 |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.