Triple
T12617929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | angisa |
E301300
|
entity |
| Predicate | languageOfSymbols |
P100524
|
FINISHED |
| Object | folding patterns |
—
|
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: folding patterns | Statement: [angisa, languageOfSymbols, folding patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSymbols Context triple: [angisa, languageOfSymbols, folding patterns]
-
A.
emblemLanguage
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
-
B.
languageOfSignatures
Indicates the language in which the signatures on a document or agreement are written or expressed.
-
C.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
-
D.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
-
E.
languageOfNotation
chosen
Indicates the language in which a given notation, script, or symbolic system is expressed or encoded.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:13 p.m.