Triple
T6771417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangme language |
E155049
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Adangme |
E617323
|
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: Adangme | Statement: [Dangme language, hasAlternativeName, Adangme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adangme Context triple: [Dangme language, hasAlternativeName, Adangme]
-
A.
Adaŋgme
chosen
Adaŋgme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
-
B.
Adanwomase
Adanwomase is a Ghanaian town renowned as a traditional center of skilled kente weaving and cultural heritage.
-
C.
Tebuange
Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
-
D.
Anioma
Anioma is an Igbo-speaking ethnic subgroup located in the eastern part of Nigeria’s Delta State, known for its distinct cultural identity within the broader Igbo culture.
-
E.
Amidou
Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2496fa08190895d8b625fb0d699 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a803fe08190b4dc32d09e91da07 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:13 p.m.