Triple
T11429004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Association of Professional Baseball |
E270828
|
entity |
| Predicate | hasRuleContext |
P99250
|
FINISHED |
| Object | professional North American baseball system |
—
|
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: professional North American baseball system | Statement: [American Association of Professional Baseball, hasRuleContext, professional North American baseball system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuleContext Context triple: [American Association of Professional Baseball, hasRuleContext, professional North American baseball system]
-
A.
hasLanguageContext
Indicates that an entity is associated with or interpreted within a specific language or linguistic context.
-
B.
notableRuleContext
Indicates that a rule, regulation, or guideline is being applied or interpreted within a particularly important or noteworthy contextual situation.
-
C.
hasCodeContext
Indicates that an entity is associated with or occurs within a particular programming or code-related context.
-
D.
hasCanonicalContext
Indicates that something is associated with its primary, standard, or officially recognized contextual setting or framework.
-
E.
hasMaterialContext
Indicates that something is associated with, influenced by, or situated within a particular physical or material context.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c1bfb881909720c74fe0fa837f |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.