Triple
T36767935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annika Sörenstam |
E908394
|
entity |
| Predicate | numberOfLPGATourWins |
P205036
|
FINISHED |
| Object | 72 |
—
|
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: 72 | Statement: [Annika Sörenstam, numberOfLPGATourWins, 72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLPGATourWins Context triple: [Annika Sörenstam, numberOfLPGATourWins, 72]
-
A.
totalPgaTourWins
Indicates the total number of PGA Tour event victories achieved by a given golfer.
-
B.
pgaChampionshipWinsCount
Indicates the number of times an entity has won the PGA Championship golf tournament.
-
C.
numberOfGrandTourOverallVictories
Indicates the total count of times an entity has won the overall classification in any of cycling’s Grand Tours (Tour de France, Giro d’Italia, or Vuelta a España).
-
D.
hasWonTourChampionship
Indicates that an entity has achieved victory in a Tour Championship event or title.
-
E.
PGAChampionsTourWins
Indicates the number of tournament victories a golfer has achieved on the PGA Champions Tour.
- 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.