Triple
T32934541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goh Liu Ying |
E842490
|
entity |
| Predicate | eventAt2016SummerOlympics |
P180564
|
FINISHED |
| Object | mixed doubles badminton |
—
|
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: mixed doubles badminton | Statement: [Goh Liu Ying, eventAt2016SummerOlympics, mixed doubles badminton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventAt2016SummerOlympics Context triple: [Goh Liu Ying, eventAt2016SummerOlympics, mixed doubles badminton]
-
A.
nextSummerOlympics
Indicates the relationship where a given time or event is associated with the immediately following occurrence of the Summer Olympic Games.
-
B.
previousSummerOlympics
Indicates that one Olympic Games event occurred immediately before another in the chronological sequence of Summer Olympic Games.
-
C.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
D.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
E.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: May 1, 2026, 1:20 a.m.