Triple
T1000774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Bowls |
E21596
|
entity |
| Predicate | fourthBowlEffect |
P22300
|
FINISHED |
| Object | scorching heat from the sun |
—
|
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: scorching heat from the sun | Statement: [Seven Bowls, fourthBowlEffect, scorching heat from the sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthBowlEffect Context triple: [Seven Bowls, fourthBowlEffect, scorching heat from the sun]
-
A.
fourthPlace
Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
-
B.
fourthQuarter
Indicates that an event, action, or state occurs during the fourth quarter of a defined time period (such as a fiscal year or sports game).
-
C.
fourthTier
Indicates that one entity occupies the fourth level, rank, or tier in a hierarchical ordering or classification relative to others.
-
D.
semifinalBowls
Indicates that the entities are the bowl games that serve as semifinal matchups in a tournament or playoff structure.
-
E.
includesBowl
Indicates that something contains or has a bowl as one of its components or elements.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b3a02ea481909555cf5b7bed0d9a |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.