Triple
T14742321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Queensland Cowboys |
E346378
|
entity |
| Predicate | grandFinalAppearanceYear |
P115589
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [North Queensland Cowboys, grandFinalAppearanceYear, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandFinalAppearanceYear Context triple: [North Queensland Cowboys, grandFinalAppearanceYear, 2005]
-
A.
finalTelevisionAppearanceYear
Indicates the year in which an entity made its last television appearance.
-
B.
grandFinalSeason
Indicates that an event, competition, or series represents the culminating or final season in a larger sequence or championship.
-
C.
finalPerformanceYear
Indicates the year in which an entity’s performance or activity is recorded or recognized for the last time.
-
D.
grandFinalAttendance
Indicates the number of people who attended the grand final event.
-
E.
yearOfFinalAward
Indicates the specific calendar year in which the final instance of an award was given or conferred.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:30 a.m.