Triple
T10642346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Walk |
E250752
|
entity |
| Predicate | workInCollectionNumber |
P57122
|
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: [Second Walk, workInCollectionNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workInCollectionNumber Context triple: [Second Walk, workInCollectionNumber, 2]
-
A.
workCatalogueNumberOfWork
Indicates the catalogue number assigned to a specific work within a cataloging or classification system.
-
B.
workCatalogueNumber
Indicates the catalog or reference number assigned to a specific work within an organized catalogue or listing.
-
C.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
-
D.
authorWorkNumber
Indicates the specific ordinal number or position of a work within an author's body of works.
-
E.
workNumberInSet
chosen
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfce1ddc8190893fe6f7b047b56b |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:05 p.m.