Triple
T22336251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Ivanovic |
E552153
|
entity |
| Predicate | achievedWorldRanking |
P103691
|
FINISHED |
| Object | WTA world No. 1 |
—
|
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: WTA world No. 1 | Statement: [Ana Ivanovic, achievedWorldRanking, WTA world No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: achievedWorldRanking Context triple: [Ana Ivanovic, achievedWorldRanking, WTA world No. 1]
-
A.
worldNumberOneRankingAchieved
chosen
Indicates that an entity has attained the top position in a recognized world ranking within a specific field or domain.
-
B.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
C.
hasQSWorldRanking
Indicates that an entity holds a specific position in the QS World University Rankings.
-
D.
wasRankedWorldNumberOneUntil
Indicates that an entity held the world number one ranking in a given domain up to, but not beyond, a specified time.
-
E.
worldAmateurRankingPeak
Indicates the highest position an individual has ever achieved in the world amateur rankings.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577f2f208190ac6270ac4581fa15 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.