Triple
T7788516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucaramanga |
E187310
|
entity |
| Predicate | nearbyRiver |
P8567
|
FINISHED |
| Object |
Río de Oro
Río de Oro is a river in northeastern Colombia that flows through the Santander region and passes near the city of Bucaramanga.
|
E692936
|
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: Río de Oro | Statement: [Bucaramanga, nearbyRiver, Río de Oro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río de Oro Context triple: [Bucaramanga, nearbyRiver, Río de Oro]
-
A.
Río de Oro
Río de Oro was a former Spanish colonial territory in northwest Africa that later became part of the disputed region of Western Sahara.
-
B.
Rio Muni
Rio Muni is the mainland region of Equatorial Guinea, located on the west coast of Central Africa and forming the country's largest and most populous territory.
-
C.
Gongola River
The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
-
D.
Bandama River basin
The Bandama River basin is the largest river drainage system in Côte d'Ivoire, encompassing much of the country's central region and supporting agriculture, settlements, and hydropower.
-
E.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
- 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: Río de Oro Triple: [Bucaramanga, nearbyRiver, Río de Oro]
Generated description
Río de Oro is a river in northeastern Colombia that flows through the Santander region and passes near the city of Bucaramanga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Río de Oro Target entity description: Río de Oro is a river in northeastern Colombia that flows through the Santander region and passes near the city of Bucaramanga.
-
A.
Río de Oro
Río de Oro was a former Spanish colonial territory in northwest Africa that later became part of the disputed region of Western Sahara.
-
B.
Rio Muni
Rio Muni is the mainland region of Equatorial Guinea, located on the west coast of Central Africa and forming the country's largest and most populous territory.
-
C.
Gongola River
The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
-
D.
Bandama River basin
The Bandama River basin is the largest river drainage system in Côte d'Ivoire, encompassing much of the country's central region and supporting agriculture, settlements, and hydropower.
-
E.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e8a0d08190b6d4ca560681eb35 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf61f77808190a5a1814fe1cb7ae1 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ff934819094f8089b0bd8dde7 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa512e748190a52fe462d3d59f06 |
completed | March 30, 2026, 10:33 p.m. |
Created at: March 30, 2026, 4:24 p.m.