Triple
T16450484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartholomew Fair |
E399536
|
entity |
| Predicate | hasPrintedEdition |
P93983
|
FINISHED |
| Object | 1631 quarto edition |
—
|
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: 1631 quarto edition | Statement: [Bartholomew Fair, hasPrintedEdition, 1631 quarto edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrintedEdition Context triple: [Bartholomew Fair, hasPrintedEdition, 1631 quarto edition]
-
A.
printedEditions
Indicates that one entity has produced or issued physical printed versions (editions) of another entity.
-
B.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
-
C.
printedEdition
chosen
Indicates that one entity is a printed (physical) edition or version of another entity.
-
D.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
-
E.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdfb0ec8190b75c4e6f4aceb200 |
completed | April 18, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.