Triple
T20798525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Games Incheon 2014 |
E511975
|
entity |
| Predicate | hostedInYear |
P16171
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Asian Games Incheon 2014, hostedInYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedInYear Context triple: [Asian Games Incheon 2014, hostedInYear, 2014]
-
A.
hostedEventYear
chosen
Indicates the specific year in which an entity hosted a particular event.
-
B.
hostedInSeason
Indicates that an event, show, or activity took place or was held during a specific season.
-
C.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
D.
hasPartInYear
Indicates that something includes or contains a specific part, component, or segment that is associated with a particular year.
-
E.
hasBeenHostedIn
Indicates that an event, show, or activity took place or was conducted at a particular location or venue in the past.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aef2e08190a779ed1d516ecba7 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.