Triple
T21985043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangul Syllables |
E542934
|
entity |
| Predicate | isPrecomposed |
P146161
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hangul Syllables, isPrecomposed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrecomposed Context triple: [Hangul Syllables, isPrecomposed, true]
-
A.
previouslyComposedOf
Indicates that something was formerly made up of or constituted by certain parts, elements, or members, but no longer is.
-
B.
isPreparedAs
Indicates that one entity is made ready, arranged, or configured in a particular way or form as specified by another entity.
-
C.
hasChoreographer
Indicates that one entity serves as the choreographer responsible for designing or directing the movement or dance for another entity.
-
D.
isComposedIn
Indicates that something is created, written, or formed within a particular context, medium, or framework.
-
E.
isComposite
Indicates that an entity is made up of multiple components or parts combined into a single whole.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708cdcc81909511d9f81bd8f20e |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:04 p.m.