Triple
T38123054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tale of Sir Thopas |
E951992
|
entity |
| Predicate | frameCollection |
P190251
|
FINISHED |
| Object | tales told on the road to Canterbury |
—
|
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: tales told on the road to Canterbury | Statement: [Tale of Sir Thopas, frameCollection, tales told on the road to Canterbury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameCollection Context triple: [Tale of Sir Thopas, frameCollection, tales told on the road to Canterbury]
-
A.
framesAs
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
B.
framesViewOf
Indicates that one entity provides a framing, perspective, or interpretive context through which another entity is viewed or understood.
-
C.
frameFamily
Indicates that one frame is a member of, or belongs to, a particular family or class of related frames.
-
D.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
E.
frameSource
Indicates that one entity serves as the originating frame or reference context from which another entity is derived, interpreted, or viewed.
- F. None of above. chosen
Provenance (4 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:21 p.m.