Triple
T37800837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atakpa |
E942368
|
entity |
| Predicate | languageSpokenCurrently |
P741
|
FINISHED |
| Object | Efik |
—
|
LITERAL 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: Efik | Statement: [Atakpa, languageSpokenCurrently, Efik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageSpokenCurrently Context triple: [Atakpa, languageSpokenCurrently, Efik]
-
A.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an entity.
-
B.
languagesSpoken
chosen
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
D.
languageBranchOfDialectSpoken
Indicates that one language branch is the higher-level linguistic group from which a given spoken dialect originates or to which that dialect belongs.
-
E.
languageDiscussedIn
Indicates that a particular language is the topic of discussion within a specified context, source, or discourse.
- F. None of above.
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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01b841f5508190832bba00cf795bad |
completed | May 11, 2026, 11:06 a.m. |
| PD | Predicate disambiguation | batch_6a01b59541fc8190a9b13a55327c4aa1 |
completed | May 11, 2026, 10:55 a.m. |
Created at: May 3, 2026, 4:19 p.m.