Triple
T14685115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRL Hall of Fame |
E344888
|
entity |
| Predicate | typeOfCriteria |
P4187
|
FINISHED |
| Object | on-field performance |
—
|
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: on-field performance | Statement: [NRL Hall of Fame, typeOfCriteria, on-field performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCriteria Context triple: [NRL Hall of Fame, typeOfCriteria, on-field performance]
-
A.
hasCriterionType
chosen
Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
-
B.
typeOfCondition
Indicates that one condition is a specific kind, category, or subtype of another condition.
-
C.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
-
D.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
E.
typeOfRules
Indicates that one entity specifies or categorizes the kind or category of rules that apply to or are associated with another entity.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56bdb8081909ff86440ba20fb1f |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.