Triple
T14171857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalabari people |
E351226
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bakana
Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
|
E1084736
|
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: Bakana | Statement: [Kalabari people, hasSettlement, Bakana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakana Context triple: [Kalabari people, hasSettlement, Bakana]
-
A.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
B.
Baka
Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
-
C.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
D.
Bakiga
The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
-
E.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
- 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: Bakana Triple: [Kalabari people, hasSettlement, Bakana]
Generated description
Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakana Target entity description: Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
-
A.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
B.
Baka
Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
-
C.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
D.
Bakiga
The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
-
E.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf808e6088190a607903be0f2adc7 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd09bad5b48190913aaba5dd2a509d |
completed | May 7, 2026, 9:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0a7603848190a4b73971cb75f99e |
completed | May 7, 2026, 9:56 p.m. |
Created at: April 10, 2026, 1:01 a.m.