Triple
T22148798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangul Jamo |
E547359
|
entity |
| Predicate | blockNumberInBMP |
P147173
|
FINISHED |
| Object | one of the early BMP blocks for East Asian scripts |
—
|
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: one of the early BMP blocks for East Asian scripts | Statement: [Hangul Jamo, blockNumberInBMP, one of the early BMP blocks for East Asian scripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blockNumberInBMP Context triple: [Hangul Jamo, blockNumberInBMP, one of the early BMP blocks for East Asian scripts]
-
A.
firstBlockHeight
Indicates the vertical size or elevation of the initial block in a sequence or structure.
-
B.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
-
C.
firstResponseBlockNumber
Indicates the specific block number in which the first response or reaction to a given event, transaction, or entity occurs.
-
D.
numberOfBlocks
Indicates the quantity of discrete block units associated with or contained by a given entity.
-
E.
blocksLeader
Indicates that one entity prevents or obstructs another entity that is in a leadership role from acting or progressing.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f209688190afea1f275c922c73 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:33 p.m.