Triple
T3329412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan people |
E69997
|
entity |
| Predicate | clanName |
P1915
|
FINISHED |
| Object |
Asona
Asona is one of the major Akan clans of Ghana, traditionally associated with attributes of wisdom, diplomacy, and leadership within Akan society.
|
E347804
|
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: Asona | Statement: [Akan people, clanName, Asona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asona Context triple: [Akan people, clanName, Asona]
-
A.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
B.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
-
C.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
D.
Panay
Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
-
E.
Sennan
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
- 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: Asona Triple: [Akan people, clanName, Asona]
Generated description
Asona is one of the major Akan clans of Ghana, traditionally associated with attributes of wisdom, diplomacy, and leadership within Akan society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asona Target entity description: Asona is one of the major Akan clans of Ghana, traditionally associated with attributes of wisdom, diplomacy, and leadership within Akan society.
-
A.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
B.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
-
C.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
D.
Panay
Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
-
E.
Sennan
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c37f3a08190823c32e8f933ce82 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31caa4e188190b4dfd613fdaebdb6 |
completed | March 12, 2026, 8:06 p.m. |
Created at: March 8, 2026, 3:12 p.m.