Triple
T693313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A System of Logic |
E13842
|
entity |
| Predicate | firstEditionVolumes |
P17539
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [A System of Logic, firstEditionVolumes, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionVolumes Context triple: [A System of Logic, firstEditionVolumes, 2]
-
A.
firstEditionResult
Indicates that one entity is the outcome, record, or result associated specifically with the first edition of another entity.
-
B.
firstEditionPrintRun
Indicates the initial quantity of copies produced when a work is printed in its first published edition.
-
C.
firstEditionSoldOutTime
Indicates the point in time at which the first edition of an item became completely sold out.
-
D.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
E.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b1e1d08190bdd42f57be5c2a6b |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.