Triple
T32025229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Rapid Chess Championship |
E817798
|
entity |
| Predicate | continentOfTypicalHost |
P157156
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [World Rapid Chess Championship, continentOfTypicalHost, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfTypicalHost Context triple: [World Rapid Chess Championship, continentOfTypicalHost, Asia]
-
A.
continentOfHosts
chosen
Indicates the continent on which the hosts are located or originate.
-
B.
continentOfHostCity
Indicates the continent on which the host city of an event or entity is located.
-
C.
continentOfAdoption
Indicates the continent on which an adoption takes place or to which an adoption is geographically attributed.
-
D.
continentOfSubject
Indicates that the object is the continent on which the subject is located or to which the subject belongs.
-
E.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 12:17 a.m.