Triple
T32565164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1932 NFL Playoff Game |
E832341
|
entity |
| Predicate | reasonForShortField |
P80660
|
FINISHED |
| Object | space limitations inside Chicago Stadium |
—
|
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: space limitations inside Chicago Stadium | Statement: [1932 NFL Playoff Game, reasonForShortField, space limitations inside Chicago Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForShortField Context triple: [1932 NFL Playoff Game, reasonForShortField, space limitations inside Chicago Stadium]
-
A.
reasonForShortening
chosen
Indicates the explanation or cause behind why something has been shortened or reduced in length or duration.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
reasonForShortLifespan
Indicates the cause or explanation for why an entity has a relatively short lifespan.
-
D.
shortFormat
Indicates that something is presented in a condensed or abbreviated form compared to its full or standard representation.
-
E.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
- 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_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 1, 2026, 1:03 a.m.