Triple
T32980138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan Boon Heong |
E843773
|
entity |
| Predicate | heldWorldRanking |
P733
|
FINISHED |
| Object | world number one in men's doubles |
—
|
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: world number one in men's doubles | Statement: [Tan Boon Heong, heldWorldRanking, world number one in men's doubles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldWorldRanking Context triple: [Tan Boon Heong, heldWorldRanking, world number one in men's doubles]
-
A.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
B.
globalRanking
chosen
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
C.
peakWorldRankingDate
Indicates the date on which an entity achieved its highest-ever position in a world ranking.
-
D.
worldNumberOneRankingAchieved
Indicates that an entity has attained the top position in a recognized world ranking within a specific field or domain.
-
E.
fihWorldRankingTop10
Indicates that the entity is ranked within the top 10 in the FIH (International Hockey Federation) world 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:22 a.m.