Triple
T11516329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona Rattlers |
E273039
|
entity |
| Predicate | numberOfArenaBowlTitles |
P64368
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Arizona Rattlers, numberOfArenaBowlTitles, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArenaBowlTitles Context triple: [Arizona Rattlers, numberOfArenaBowlTitles, 5]
-
A.
arenaBowlTitles
chosen
Indicates the number of ArenaBowl championship titles an entity has won.
-
B.
arenaCupTitles
Indicates the number of Arena Cup championship titles an entity has won.
-
C.
numberOfABAChampionships
Indicates the number of championships an entity has won in the American Basketball Association (ABA).
-
D.
arenaBowlAppearance
Indicates that an entity has participated in at least one ArenaBowl championship game.
-
E.
wonABAChampionship
Indicates that one entity achieved victory in and secured the championship title of an ABA (American Basketball Association) competition or season over another entity or in a given context.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.