Triple
T1688470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosquera |
E36495
|
entity |
| Predicate | borderedBy |
P224
|
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: [Mosquera, borderedBy, Madrid, Cundinamarca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madrid, Cundinamarca Context triple: [Mosquera, borderedBy, 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.
Medellín
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
-
E.
Anapoima
Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7992792081909af4312ae8a448a2 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.