Triple
T5232467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ejaan Yang Disempurnakan |
E118142
|
entity |
| Predicate | introducedDigraph |
P4437
|
FINISHED |
| Object | ng |
—
|
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: ng | Statement: [Ejaan Yang Disempurnakan, introducedDigraph, ng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedDigraph Context triple: [Ejaan Yang Disempurnakan, introducedDigraph, ng]
-
A.
usesDigraph
chosen
Indicates that one entity employs or represents information using a directed graph structure, where relationships have a specified direction.
-
B.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
C.
introducedVia
Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
-
D.
introducedRight
Indicates that one entity formally presented or brought another entity to the attention of a third party or context, with the second entity occupying a role or position on the right side in that introduction.
-
E.
introducedPart
Indicates that one entity has brought another entity into existence, use, or awareness as a component or element of something.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.