Triple
T4952025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Bough |
E111189
|
entity |
| Predicate | laterEditionCount |
P6584
|
FINISHED |
| Object | 12 volumes |
—
|
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: 12 volumes | Statement: [The Golden Bough, laterEditionCount, 12 volumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterEditionCount Context triple: [The Golden Bough, laterEditionCount, 12 volumes]
-
A.
numberOfEditions
chosen
Indicates the total count of distinct editions associated with a given entity.
-
B.
laterEditionApproximateNumberOfMaps
Indicates that a later edition of a work contains approximately the specified number of maps.
-
C.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
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.
hasDifferentEditions
Indicates that an entity exists in multiple distinct versions or editions that differ in some characteristics.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b6a5d481909ad6f5e0b752496c |
completed | March 20, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.