Triple
T8229615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linear B |
E192255
|
entity |
| Predicate | scriptContinuity |
P32645
|
FINISHED |
| Object | predecessorOfDebatedRelationTo |
—
|
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: predecessorOfDebatedRelationTo | Statement: [Linear B, scriptContinuity, predecessorOfDebatedRelationTo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptContinuity Context triple: [Linear B, scriptContinuity, predecessorOfDebatedRelationTo]
-
A.
cultContinuity
Indicates the continuation or persistence of a religious cult’s practices, beliefs, or traditions over time.
-
B.
scriptEvolution
chosen
Indicates how a script or written system changes, develops, or transforms over time in relation to its earlier or later forms.
-
C.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
D.
scriptDirection
Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
-
E.
storySupervisorOf
Indicates that one entity serves as the supervising authority or manager responsible for overseeing another entity within the context of a story or narrative.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7802417c81908837c31136c41a5c |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.