Triple
T32565152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1932 NFL Playoff Game |
E832341
|
entity |
| Predicate | reasonForIndoorVenue |
P30171
|
FINISHED |
| Object | severe cold and snow in Chicago |
—
|
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: severe cold and snow in Chicago | Statement: [1932 NFL Playoff Game, reasonForIndoorVenue, severe cold and snow in Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForIndoorVenue Context triple: [1932 NFL Playoff Game, reasonForIndoorVenue, severe cold and snow in Chicago]
-
A.
reasonForOutdoorSetting
Indicates the explanation or cause for why an event or situation is taking place in an outdoor setting.
-
B.
reasonForLocation
chosen
Indicates the cause, purpose, or justification for why an entity is at a particular location.
-
C.
indoorAdvantage
Indicates that an entity has a beneficial edge or improved performance when conditions or activities occur indoors rather than outdoors.
-
D.
homeFacilityIndoor
Indicates that the primary or designated facility associated with an entity is located indoors rather than outdoors.
-
E.
usualVenueSince
Indicates that a particular venue has been the regular or customary location for something (e.g., an event or activity) starting from a specified point in time.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 1, 2026, 1:03 a.m.