Triple
T6835777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gbe languages |
E157445
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Aja language |
E267651
|
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: Aja language | Statement: [Gbe languages, hasPart, Aja language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aja language Context triple: [Gbe languages, hasPart, Aja language]
-
A.
Aja language
chosen
The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
-
B.
Ngaju language
The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
-
C.
Awajún language
Awajún language is an indigenous Jivaroan language spoken primarily by the Awajún (Aguaruna) people of northern Peru.
-
D.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
-
E.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67a9ff88190b0d86331b3ea06aa |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723ffce448190ac8edbaaa1517972 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:19 p.m.