Triple
T8265090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothic alphabet |
E193280
|
entity |
| Predicate | designedForMedium |
P71054
|
FINISHED |
| Object | parchment manuscripts |
—
|
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: parchment manuscripts | Statement: [Gothic alphabet, designedForMedium, parchment manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForMedium Context triple: [Gothic alphabet, designedForMedium, parchment manuscripts]
-
A.
stratotypeMedium
Indicates the type of material or medium (e.g., rock, sediment) that serves as the reference standard for a stratigraphic unit or stratotype.
-
B.
representsMedium
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
C.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
D.
createdForMedium
chosen
Indicates that something was created specifically for use, display, or performance in a particular medium or format.
-
E.
mediumAppearance
Indicates that an entity appears in or is featured within a particular medium (such as a work, format, or communication channel).
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794c54448190a685b8d0070980d7 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb36b8707881909aca349230495a5a |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:50 p.m.