Triple
T3340329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saguia el-Hamra |
E70241
|
entity |
| Predicate | mergedWith |
P77
|
FINISHED |
| Object | Río de Oro |
E83835
|
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: Río de Oro | Statement: [Saguia el-Hamra, mergedWith, Río de Oro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río de Oro Context triple: [Saguia el-Hamra, mergedWith, Río de Oro]
-
A.
Río de Oro
chosen
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.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
E.
Ubangi-Shari
Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bf1f648190993ac8e9dda60983 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb819688190bb6198ac43f48449 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:12 p.m.