Triple
T30108035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W 032 |
E765183
|
entity |
| Predicate | containsVariant |
P455
|
FINISHED |
| Object | Freer Logion after Mark 16:14 |
—
|
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: Freer Logion after Mark 16:14 | Statement: [W 032, containsVariant, Freer Logion after Mark 16:14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsVariant Context triple: [W 032, containsVariant, Freer Logion after Mark 16:14]
-
A.
hasVariant
chosen
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
B.
hasVariantsIn
Indicates that an entity exists in multiple alternative forms or versions within a specified context or set.
-
C.
hasVariantCovers
Indicates that one entity has alternative or different versions of its covers associated with it.
-
D.
hasVariantUsage
Indicates that an entity is used in an alternative or non-standard way compared to its primary or canonical usage.
-
E.
hasVariantSystem
Indicates that one system is an alternative or variant form of another system within the same general framework or category.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: April 29, 2026, 7:09 p.m.