Triple
T16768224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio São Francisco |
E407523
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Opará
Opará is a traditional Indigenous name for Brazil’s São Francisco River, one of the country’s longest and most culturally significant waterways.
|
E1232195
|
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: Opará | Statement: [Rio São Francisco, alsoKnownAs, Opará]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opará Context triple: [Rio São Francisco, alsoKnownAs, Opará]
-
A.
Udichi
Udichi is a section or unit within the Uttarayan Complex, likely serving as one of its residential or functional blocks.
-
B.
Okolochi
Okolochi is a village-level community located within the Owerri West Local Government Area in Imo State, southeastern Nigeria.
-
C.
Ogwa
Ogwa is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
-
D.
Ogaranya
Ogaranya is a popular Afrobeat/Afropop song by Nigerian singer Adekunle Gold, known for its catchy melody and celebratory themes of wealth and success.
-
E.
Essien
Essien is a Ghanaian surname most prominently associated with Michael Essien, the renowned former professional footballer who starred for Chelsea and the Ghana national team.
- 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: Opará Triple: [Rio São Francisco, alsoKnownAs, Opará]
Generated description
Opará is a traditional Indigenous name for Brazil’s São Francisco River, one of the country’s longest and most culturally significant waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opará Target entity description: Opará is a traditional Indigenous name for Brazil’s São Francisco River, one of the country’s longest and most culturally significant waterways.
-
A.
Udichi
Udichi is a section or unit within the Uttarayan Complex, likely serving as one of its residential or functional blocks.
-
B.
Okolochi
Okolochi is a village-level community located within the Owerri West Local Government Area in Imo State, southeastern Nigeria.
-
C.
Ogwa
Ogwa is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
-
D.
Ogaranya
Ogaranya is a popular Afrobeat/Afropop song by Nigerian singer Adekunle Gold, known for its catchy melody and celebratory themes of wealth and success.
-
E.
Essien
Essien is a Ghanaian surname most prominently associated with Michael Essien, the renowned former professional footballer who starred for Chelsea and the Ghana national team.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0349bc88190938750f1e5af192a |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a533e83481909966a7b86c8c8e64 |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a6d6a6d08190b103c2dfd30f0e28 |
completed | May 10, 2026, 3:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a749f2688190af57bd13b9dedeb1 |
completed | May 10, 2026, 3:42 p.m. |
Created at: April 10, 2026, 5:21 a.m.