Triple
T21978405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bariri Dam |
E542769
|
entity |
| Predicate | locatedNearCity |
P3883
|
FINISHED |
| Object |
Bariri
Bariri is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the Bariri Dam.
|
E1516229
|
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: Bariri | Statement: [Bariri Dam, locatedNearCity, Bariri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bariri Context triple: [Bariri Dam, locatedNearCity, Bariri]
-
A.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
B.
Mueda
Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
-
C.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
-
D.
Ntshona
Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
-
E.
Namwala
Namwala is a rural town in southern Zambia known as a center of Ila cattle-herding culture along the Kafue River floodplain.
- 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: Bariri Triple: [Bariri Dam, locatedNearCity, Bariri]
Generated description
Bariri is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the Bariri Dam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bariri Target entity description: Bariri is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the Bariri Dam.
-
A.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
B.
Mueda
Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
-
C.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
-
D.
Ntshona
Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
-
E.
Namwala
Namwala is a rural town in southern Zambia known as a center of Ila cattle-herding culture along the Kafue River floodplain.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248a60708190a9aa8b9b7738c261 |
completed | April 28, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a809a953881908d8071fd0b8341eb |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a81565a748190941d433f88f0bcdc |
completed | May 18, 2026, 3:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a821dfb0881908586c38e7f9cd8fa |
completed | May 18, 2026, 3:06 a.m. |
Created at: April 16, 2026, 8:03 p.m.