Triple
T231029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enquire Within Upon Everything |
E4410
|
entity |
| Predicate | hasEditionCount |
P6584
|
FINISHED |
| Object | many editions |
—
|
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: many editions | Statement: [Enquire Within Upon Everything, hasEditionCount, many editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEditionCount Context triple: [Enquire Within Upon Everything, hasEditionCount, many editions]
-
A.
numberOfEditions
chosen
Indicates the total count of distinct editions associated with a given entity.
-
B.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
C.
hasModernEditions
Indicates that an original work or text has one or more updated or contemporary published editions.
-
D.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
-
E.
edition
Indicates that one entity is a specific version, issue, or release of another (typically a work such as a book, journal, or software).
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b5a075081909b0e9b88c1492d5a |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.