Triple
T6835779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gbe languages |
E157445
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gun language |
E617305
|
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: Gun language | Statement: [Gbe languages, hasPart, Gun language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gun language Context triple: [Gbe languages, hasPart, Gun language]
-
A.
Gun language
chosen
Gun is a Gbe language of the Niger-Congo family spoken primarily in Benin and neighboring regions of West Africa.
-
B.
Fox language
Fox language is a Native American Algonquian language traditionally spoken by the Meskwaki (Fox), Sauk, and Kickapoo peoples of the central United States.
-
C.
Slang
Slang is a 1996 studio album by English rock band Def Leppard that marked a stylistic shift toward a more alternative and contemporary rock sound.
-
D.
Lang
Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
-
E.
Lang
Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
- 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.