Triple
T20775908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Conference on Doping in Sport |
E511352
|
entity |
| Predicate | locationOfEventSeries |
P141477
|
FINISHED |
| Object | various host cities |
—
|
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: various host cities | Statement: [World Conference on Doping in Sport, locationOfEventSeries, various host cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfEventSeries Context triple: [World Conference on Doping in Sport, locationOfEventSeries, various host cities]
-
A.
locationOfEventDescribed
Indicates that one entity is the place or setting where the event described by another entity occurs.
-
B.
successorEventLocation
Indicates that the location is where the immediately following or next event in a sequence takes place.
-
C.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
D.
eventLocationDetail
Indicates the specific place or venue where an event occurs, often providing more granular location information than a general address or area.
-
E.
eventDateAtLocation
Indicates that a specific event occurs on a particular date at a given location.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26b06ac81909aef3b0a0ad79a33 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.