Triple
T9962790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papyrus 66 |
E195608
|
entity |
| Predicate | earliestWitnessOf |
P3921
|
FINISHED |
| Object | large portions of the Gospel of John |
—
|
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: large portions of the Gospel of John | Statement: [Papyrus 66, earliestWitnessOf, large portions of the Gospel of John]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestWitnessOf Context triple: [Papyrus 66, earliestWitnessOf, large portions of the Gospel of John]
-
A.
earliestConstructionAttributedTo
Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
-
B.
earliestWellKnownExample
Indicates that one entity is the earliest well-known example or instance of the other entity.
-
C.
earliestKnownHolder
Indicates that the subject is the first known entity in time to have possessed, held, or been assigned the object.
-
D.
firstClearlyAttestedIn
chosen
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
E.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb718cd588190a4aac48220deddec |
completed | April 2, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:47 p.m.