Triple
T6442341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beng |
E138253
|
entity |
| Predicate | usesUnicodeBlock |
P1445
|
FINISHED |
| Object | Bengali (U+0980–U+09FF) |
—
|
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: Bengali (U+0980–U+09FF) | Statement: [Beng, usesUnicodeBlock, Bengali (U+0980–U+09FF)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesUnicodeBlock Context triple: [Beng, usesUnicodeBlock, Bengali (U+0980–U+09FF)]
-
A.
UnicodeBlock
chosen
Indicates that a character belongs to a specific contiguous range of code points defined as a Unicode block.
-
B.
hasBlockUnicode
Indicates that one entity possesses or is associated with a specific Unicode block related to another entity.
-
C.
hasAdditionalUnicodeBlock
Indicates that an entity is associated with one or more supplementary Unicode character blocks beyond its primary assigned block.
-
D.
hasUnicode
Indicates that an entity is associated with, represented by, or encoded using a specific Unicode character or sequence.
-
E.
supportsUnicode
Indicates that an entity is capable of correctly handling, storing, or displaying Unicode-encoded text.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06989dfb88190b25ff8b2c53f3ced |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.