Triple
T27039828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam in table tennis (Olympic Games, World Championships, World Cup) |
E684456
|
entity |
| Predicate | requiresTitleAt |
P183097
|
FINISHED |
| Object | Olympic Games |
—
|
NE NERFINISHED |
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: Olympic Games | Statement: [Grand Slam in table tennis (Olympic Games, World Championships, World Cup), requiresTitleAt, Olympic Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresTitleAt Context triple: [Grand Slam in table tennis (Olympic Games, World Championships, World Cup), requiresTitleAt, Olympic Games]
-
A.
requiresTitle
Indicates that something cannot proceed or be considered valid unless a specific title has been provided or assigned.
-
B.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
C.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
D.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
-
E.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 27, 2026, 8:04 a.m.