Triple
T5872171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boliniales |
E130540
|
entity |
| Predicate | asciType |
P67329
|
FINISHED |
| Object | unitunicate asci |
—
|
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: unitunicate asci | Statement: [Boliniales, asciType, unitunicate asci]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asciType Context triple: [Boliniales, asciType, unitunicate asci]
-
A.
alphabetType
Indicates the type or classification of an alphabet used by a writing system or language.
-
B.
characterSetType
Indicates the type or category of character set associated with or used by an entity.
-
C.
firstCharacterType
Indicates that the type or category of the first character in a sequence or string has a specified value.
-
D.
hasTypicalCharacterType
Indicates that an entity is commonly associated with or exemplified by a particular type of character or persona.
-
E.
codingSystemType
Indicates the classification or category of coding system used to encode or represent information in a given context.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0432f06fc8190bc047d52ffc30d59 |
completed | March 22, 2026, 7:29 p.m. |
Created at: March 22, 2026, 3:56 p.m.