Triple
T10642325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Walk |
E250752
|
entity |
| Predicate | workChronologyWithinReveries |
P5172
|
FINISHED |
| Object | second |
—
|
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: second | Statement: [Second Walk, workChronologyWithinReveries, second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workChronologyWithinReveries Context triple: [Second Walk, workChronologyWithinReveries, second]
-
A.
workInChronologyOfAuthor
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
B.
workChronicles
Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
-
C.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
D.
workChronologyPosition
chosen
Indicates the relative ordering or position of a work within a sequence of works, such as in a career, series, or catalog.
-
E.
involvesChronology
Indicates that the relationship or action explicitly depends on, references, or organizes events according to their order or position in time.
- 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.