Triple
T1211867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of the Inductive Sciences |
E26017
|
entity |
| Predicate | hasRevisedEditions |
P6687
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [History of the Inductive Sciences, hasRevisedEditions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRevisedEditions Context triple: [History of the Inductive Sciences, hasRevisedEditions, yes]
-
A.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
B.
hasModernEditions
chosen
Indicates that an original work or text has one or more updated or contemporary published editions.
-
C.
laterRepublishedWith
Indicates that an existing work was republished at a later time in a modified or updated form specified by the related entity.
-
D.
hasEditionType
Indicates that one entity is a specific edition type or format classification of another entity (such as a work, publication, or product).
-
E.
wasReissued
Indicates that an item, such as a document or edition, has been issued again after its original release.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.