Triple
T8326115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelmscott Press |
E194957
|
entity |
| Predicate | limitedEditions |
P15697
|
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: [Kelmscott Press, limitedEditions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitedEditions Context triple: [Kelmscott Press, limitedEditions, yes]
-
A.
hasLimitedEditionSeries
chosen
Indicates that an entity is associated with a special, restricted-quantity series or collection.
-
B.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
-
C.
specialEdition
Indicates that an item is a distinct, limited, or enhanced version of a standard release, often with unique features, packaging, or content.
-
D.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
E.
significantCollector
Indicates that an entity plays an important or notable role in collecting items, works, or data related to another 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7fba688190b696593dfb2cde5d |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:56 p.m.