Triple
T14649336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stony the Road |
E343936
|
entity |
| Predicate | nonfictionForm |
P17629
|
FINISHED |
| Object | historical study |
—
|
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: historical study | Statement: [Stony the Road, nonfictionForm, historical study]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonfictionForm Context triple: [Stony the Road, nonfictionForm, historical study]
-
A.
isNonfiction
Indicates that the work or content is factual rather than fictional, based on real events, people, or information.
-
B.
isNonFictionCategory
chosen
Indicates that a given category pertains to non-fiction works, such as factual or informational content rather than fictional material.
-
C.
narrativeFormat
Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
-
D.
novel
Indicates that an entity is new, original, or not previously known or used in the given context.
-
E.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ed037c8190a87bf43f839fec05 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.