Triple
T32667379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Single Standard |
E835192
|
entity |
| Predicate | hasAdaptationYear |
P2376
|
FINISHED |
| Object | 1914 |
—
|
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: 1914 | Statement: [The Single Standard, hasAdaptationYear, 1914]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationYear Context triple: [The Single Standard, hasAdaptationYear, 1914]
-
A.
adaptationEndYear
Indicates the year in which an adaptation process, project, or measure is completed or comes to an end.
-
B.
adaptationReleaseYear
chosen
Indicates the year in which an adaptation of a work was released.
-
C.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
D.
notableAdaptationYear
Indicates the year in which a notable adaptation of the subject (such as a book, play, or other work) was released or produced.
-
E.
adaptationOfPeriod
Indicates that one entity is an adaptation or reinterpretation of another entity from a specific historical or cultural period.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 1, 2026, 1:08 a.m.