Triple
T35029312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayslope |
E1010430
|
entity |
| Predicate | workPublicationYearOfSettingWork |
P69307
|
FINISHED |
| Object | 1859 |
—
|
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: 1859 | Statement: [Hayslope, workPublicationYearOfSettingWork, 1859]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPublicationYearOfSettingWork Context triple: [Hayslope, workPublicationYearOfSettingWork, 1859]
-
A.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
-
B.
keyWorkReleaseYear
Indicates the year in which a key work (such as a major publication, artwork, or product) was first released.
-
C.
workOriginYear
Indicates the year in which a work (such as a creative, scholarly, or artistic piece) was originally created or first produced.
-
D.
relatedWorkPublicationYear
chosen
Indicates the year in which a related work associated with the primary entity was published.
-
E.
proseEditionPublicationYear
Indicates the year in which a particular prose edition of a work was published.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.