Triple
T25340971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelaide 500 |
E635410
|
entity |
| Predicate | firstYearAsChampionshipRound |
P184830
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Adelaide 500, firstYearAsChampionshipRound, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstYearAsChampionshipRound Context triple: [Adelaide 500, firstYearAsChampionshipRound, 1999]
-
A.
firstNationalChampionshipSeason
Indicates the season in which an entity won its first national championship.
-
B.
firstTimeChampion
Indicates that an entity has won a championship title for the first time in its history.
-
C.
firstKnownTournamentYear
Indicates the year in which a tournament was first known to have been held.
-
D.
firstSeasonAsRoundRobin
Indicates that the referenced season is the first one in which the competition was conducted in a round-robin format.
-
E.
firstYearPlayed
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 21, 2026, 1:32 p.m.