Triple
T13093047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugby League Championship |
E310510
|
entity |
| Predicate | hasFormatChanges |
P108003
|
FINISHED |
| Object | format has changed multiple times since inception |
—
|
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: format has changed multiple times since inception | Statement: [Rugby League Championship, hasFormatChanges, format has changed multiple times since inception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormatChanges Context triple: [Rugby League Championship, hasFormatChanges, format has changed multiple times since inception]
-
A.
mostRecentFormatChange
Indicates the most recent modification made to the format or structure of an entity, relative to all prior format changes.
-
B.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
-
C.
hasConfigurationFormat
Indicates that an entity uses or is associated with a specific configuration format for its settings or parameters.
-
D.
hasDesignChange
Indicates that an entity has undergone a modification or alteration to its original design.
-
E.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813acbac8190b2fe5e07287457cf |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:03 p.m.