Triple
T8394439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 World Figure Skating Championships |
E198018
|
entity |
| Predicate | ladiesChampionTitleNumberForMichelleKwan |
P81989
|
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: [2003 World Figure Skating Championships, ladiesChampionTitleNumberForMichelleKwan, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ladiesChampionTitleNumberForMichelleKwan Context triple: [2003 World Figure Skating Championships, ladiesChampionTitleNumberForMichelleKwan, 5]
-
A.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
B.
numberOfWNBAChampionships
Indicates the count of WNBA championship titles that an entity has won.
-
C.
numberOfOpenChampionshipsWon
Indicates the total count of Open Championships that an entity has won.
-
D.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
E.
championPreviousTitleSeason
Indicates that an entity was the champion of the immediately preceding season for a given title or competition.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8185ef60819085cfa7491d35834a |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:03 p.m.