Triple
T30337965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chess960 |
E771671
|
entity |
| Predicate | openingBooks |
P178617
|
FINISHED |
| Object | limited compared to standard chess |
—
|
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: limited compared to standard chess | Statement: [Chess960, openingBooks, limited compared to standard chess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingBooks Context triple: [Chess960, openingBooks, limited compared to standard chess]
-
A.
openingPractice
Indicates the practice or rehearsal of opening moves, procedures, or initial actions in a given context.
-
B.
openingPublication
Indicates that an entity is the initial or first publication in which another entity (such as a work, concept, or result) was formally made public.
-
C.
openingThemeType
Indicates the type or category of an opening theme associated with a work or media.
-
D.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
E.
openingWorkOf
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 29, 2026, 7:54 p.m.