Triple
T18331012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rionegro, Antioquia, Colombia |
E439138
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Rionegrero
Rionegrero is the Spanish demonym for a person from the city of Rionegro in the Antioquia department of Colombia.
|
E1320648
|
NE FINISHED |
How this triple was built (4 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: Rionegrero | Statement: [Rionegro, Antioquia, Colombia, hasDemonym, Rionegrero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rionegrero Context triple: [Rionegro, Antioquia, Colombia, hasDemonym, Rionegrero]
-
A.
Río Negro
Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
-
B.
Río Negro
Río Negro is a river in the Cundinamarca Department of central Colombia, contributing to the region’s Andean watershed and local ecosystems.
-
C.
Ríos Rosas
Ríos Rosas is a Madrid Metro station located in the Chamberí district, serving as part of the city's historic Line 1.
-
D.
Río Rocha
Río Rocha is a river in central Bolivia that flows through the city of Cochabamba and plays a key role in the region’s drainage and environmental conditions.
-
E.
Villaguay
Villaguay is a city in central Argentina known as an important agricultural and commercial hub within Entre Ríos Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rionegrero Triple: [Rionegro, Antioquia, Colombia, hasDemonym, Rionegrero]
Generated description
Rionegrero is the Spanish demonym for a person from the city of Rionegro in the Antioquia department of Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rionegrero Target entity description: Rionegrero is the Spanish demonym for a person from the city of Rionegro in the Antioquia department of Colombia.
-
A.
Río Negro
Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
-
B.
Río Negro
Río Negro is a river in the Cundinamarca Department of central Colombia, contributing to the region’s Andean watershed and local ecosystems.
-
C.
Ríos Rosas
Ríos Rosas is a Madrid Metro station located in the Chamberí district, serving as part of the city's historic Line 1.
-
D.
Río Rocha
Río Rocha is a river in central Bolivia that flows through the city of Cochabamba and plays a key role in the region’s drainage and environmental conditions.
-
E.
Villaguay
Villaguay is a city in central Argentina known as an important agricultural and commercial hub within Entre Ríos Province.
- F. None of above. chosen
Provenance (5 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50eca08388190b4e757a5f63b5d41 |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d76c542881909d2592c2b4646ad5 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d80cbd708190b9b54ff85c5ec66c |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8a25460819090f1ffa15f05a716 |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:36 a.m.