Triple
T24479225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaa |
E617320
|
entity |
| Predicate | isCodeForLanguageUsedBy |
P9567
|
FINISHED |
| Object | Ga people |
—
|
NE NERFINISHED |
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: Ga people | Statement: [Gaa, isCodeForLanguageUsedBy, Ga people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCodeForLanguageUsedBy Context triple: [Gaa, isCodeForLanguageUsedBy, Ga people]
-
A.
codeForLanguage
Indicates that a piece of code is written in, or intended to be executed by, a particular programming or markup language.
-
B.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
C.
hasLanguageCodeScope
Indicates that a language code is valid or applicable only within a specified scope, context, or domain.
-
D.
isOfficialCodeFor
chosen
Indicates that one entity serves as the formally recognized or authorized code that designates or identifies another entity.
-
E.
scriptUsedForLanguage
Indicates that a particular writing script is employed to write or represent a given language.
- 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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29ed3fce88190b5be7e085ef88c97 |
completed | April 30, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:21 a.m.