Triple
T38160413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapfino Arabic |
E953000
|
entity |
| Predicate | designedAsCompanionFor |
P200466
|
FINISHED |
| Object | Zapfino Latin script |
—
|
NE NERFINISHED |
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: Zapfino Latin script | Statement: [Zapfino Arabic, designedAsCompanionFor, Zapfino Latin script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedAsCompanionFor Context triple: [Zapfino Arabic, designedAsCompanionFor, Zapfino Latin script]
-
A.
designedToAccompany
chosen
Indicates that one entity is created or intended specifically to be used, experienced, or present together with another entity.
-
B.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
C.
hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
-
D.
hasCompanionBook
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
-
E.
includesCompanion
Indicates that one entity involves, contains, or is accompanied by another entity acting as a companion.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.