Triple
T12654056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tano |
E302236
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Ahanta |
E577151
|
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: Ahanta | Statement: [Central Tano, hasLanguage, Ahanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahanta Context triple: [Central Tano, hasLanguage, Ahanta]
-
A.
Ahanta
chosen
The Ahanta are an Akan-related ethnic group of coastal Ghana known historically for their involvement in Atlantic trade and rich fishing and farming traditions.
-
B.
Asharh
Asharh is a monsoon-season month in the Bengali calendar, typically spanning late June to mid-July in the Gregorian calendar.
-
C.
Lezgi
Lezgi is the name of a Northeast Caucasian ethnic group primarily inhabiting southern Dagestan in Russia and northern Azerbaijan, known for their distinct Lezgian language and rich cultural traditions.
-
D.
Awarta
Awarta is a Palestinian village in the northern West Bank, known for its historic religious sites and proximity to the city of Nablus.
-
E.
Naksan
Naksan is a small but prominent mountain in central Seoul, South Korea, known for its city views, walking trails, and sections of the restored Seoul City Wall.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.