Triple
T2463208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ace |
E54581
|
entity |
| Predicate | typicalAppearanceContext |
P39989
|
FINISHED |
| Object | Toronto Blue Jays home games |
—
|
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: Toronto Blue Jays home games | Statement: [Ace, typicalAppearanceContext, Toronto Blue Jays home games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAppearanceContext Context triple: [Ace, typicalAppearanceContext, Toronto Blue Jays home games]
-
A.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
B.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
C.
appearance
Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
-
D.
hasTypicalUseContext
Indicates that something is commonly or characteristically used within a particular situation, setting, or context.
-
E.
depictionContext
Indicates the situational or environmental setting in which something is depicted or represented.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.