Triple
T794445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tri-City Americans |
E16986
|
entity |
| Predicate | juniorLevel |
P16858
|
FINISHED |
| Object | major junior |
—
|
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: major junior | Statement: [Tri-City Americans, juniorLevel, major junior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juniorLevel Context triple: [Tri-City Americans, juniorLevel, major junior]
-
A.
developmentLevel
chosen
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
-
B.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
introducedIntermediateLevel
Indicates that an entity has brought in or established something at an intermediate level between basic and advanced stages.
-
D.
belowLeague
Indicates that one entity is in a lower league, division, or competitive tier than another entity.
-
E.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79b976c819085cd381bbd597ca5 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.