Triple
T19743644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medellín River |
E474194
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bello |
—
|
NE NERFINISHED |
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: Bello | Statement: [Medellín River, flowsThrough, Bello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bello Context triple: [Medellín River, flowsThrough, Bello]
-
A.
Bello
chosen
Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
-
B.
Bello
Bello is a common surname of Hausa and broader West African origin, notably borne by several prominent Nigerian leaders and public figures.
-
C.
Briosa
Briosa is the popular nickname of Associação Académica de Coimbra’s football team, a historic Portuguese club closely linked to the University of Coimbra and its student culture.
-
D.
Las Bela
Las Bela is a coastal region in southwestern Pakistan’s Balochistan province, known for its distinct Lasi culture, language, and historical ties to the former princely state of Las Bela.
-
E.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65162f0f88190b652fff01ee23090 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.