Triple
T30259224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Science Fiction of 2002 (as editor) |
E769440
|
entity |
| Predicate | publicationYearOfStories |
P195539
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Best Science Fiction of 2002 (as editor), publicationYearOfStories, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearOfStories Context triple: [Best Science Fiction of 2002 (as editor), publicationYearOfStories, 2002]
-
A.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
B.
textPublicationApproxYear
Indicates that a text was published around a specified year, with the year representing an approximate rather than exact publication date.
-
C.
serialPublicationStartYear
Indicates the calendar year in which a serial publication (such as a journal, magazine, or series) first began being issued.
-
D.
novelReleaseYear
Indicates the calendar year in which a novel was first released or published.
-
E.
chroniclePublicationYear
Indicates the year in which a chronicle was published.
- F. None of above. chosen
Provenance (4 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69fdd922d73c81908ad3faade247ec16 |
completed | May 8, 2026, 12:37 p.m. |
Created at: April 29, 2026, 7:41 p.m.