Triple
T25604750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MWC men's basketball tournament |
E641879
|
entity |
| Predicate | mostRecentCity |
P159158
|
FINISHED |
| Object | Paradise, Nevada |
—
|
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: Paradise, Nevada | Statement: [MWC men's basketball tournament, mostRecentCity, Paradise, Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostRecentCity Context triple: [MWC men's basketball tournament, mostRecentCity, Paradise, Nevada]
-
A.
previousCity
Indicates that one city was the immediately preceding location visited or lived in before another city.
-
B.
usedCity
Indicates that an entity made use of or operated within a particular city as part of its activities or functions.
-
C.
currentCityName
Indicates the name of the city where the entity is currently located.
-
D.
cityIs
Indicates that one entity is a city associated with, or identified as, another entity.
-
E.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a951b88190a4187e74a5b2ec93 |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 4:37 p.m.