Triple
T32390465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Arena Football League season |
E827654
|
entity |
| Predicate | numberOfArenaBowl |
P203604
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [2017 Arena Football League season, numberOfArenaBowl, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArenaBowl Context triple: [2017 Arena Football League season, numberOfArenaBowl, 30]
-
A.
ArenaBowlVenue
Indicates that a venue served as the location where an ArenaBowl game was held.
-
B.
ArenaBowlCity
Indicates the city in which a particular ArenaBowl game was held.
-
C.
arenaBowlTitles
Indicates the number of ArenaBowl championship titles an entity has won.
-
D.
numberOfBowlGamesPlayed
Indicates the total count of bowl games that an entity (typically a sports team or player) has participated in.
-
E.
numberOfBowlGamesScheduled
Indicates the total count of bowl games that have been planned or scheduled for a given context or time period.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01b241f7308190bedb7522cb5dc069 |
completed | May 11, 2026, 10:41 a.m. |
| PD | Predicate disambiguation | batch_6a01b19ff12c81908ee1b188b4a3e118 |
completed | May 11, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_6a01b240fd1c81908fbc7c0fd248723d |
completed | May 11, 2026, 10:41 a.m. |
Created at: May 1, 2026, 12:52 a.m.