Triple
T18332562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League women’s cross country |
E439180
|
entity |
| Predicate | allowsPostseasonParticipationIn |
P28814
|
FINISHED |
| Object | NCAA Division I Women’s Cross Country Championships |
—
|
NE NERFINISHED |
How this triple was built (3 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: NCAA Division I Women’s Cross Country Championships | Statement: [Ivy League women’s cross country, allowsPostseasonParticipationIn, NCAA Division I Women’s Cross Country Championships]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NCAA Division I Women’s Cross Country Championships Context triple: [Ivy League women’s cross country, allowsPostseasonParticipationIn, NCAA Division I Women’s Cross Country Championships]
-
A.
NCAA Division I Women’s Cross Country Championships
chosen
The NCAA Division I Women’s Cross Country Championships is the premier annual collegiate championship meet in the United States that determines the national team and individual titles in women’s cross country running at the Division I level.
-
B.
NCAA women’s cross country
NCAA women’s cross country is a collegiate distance running sport in the United States in which women compete for individual and team titles under the governance of the National Collegiate Athletic Association.
-
C.
NCAA Division III Women’s Cross Country Championships
The NCAA Division III Women’s Cross Country Championships is the annual national collegiate championship meet that determines the top women’s cross country team and individual runners among NCAA Division III schools in the United States.
-
D.
NCAA Division I cross country
NCAA Division I cross country is the highest level of collegiate cross country running in the United States, featuring top university teams competing in regional and national championships governed by the NCAA.
-
E.
NCAA Division II Women’s Cross Country Championships
The NCAA Division II Women’s Cross Country Championships is an annual collegiate meet that determines the national team and individual champions among U.S. NCAA Division II women’s cross country programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsPostseasonParticipationIn Context triple: [Ivy League women’s cross country, allowsPostseasonParticipationIn, NCAA Division I Women’s Cross Country Championships]
-
A.
hasPostseasonAccess
chosen
Indicates that an entity is granted the right or eligibility to participate in postseason or playoff competitions.
-
B.
includesPostseasonIn
Indicates that a time period, schedule, or dataset explicitly encompasses postseason games or events in addition to the regular season.
-
C.
hasPostseasonEvent
Indicates that an entity is associated with or participates in a postseason event, such as playoffs or championships, following a regular season.
-
D.
playoffParticipation
Indicates that an entity takes part in a postseason playoff competition within a given league or tournament.
-
E.
madePostseason
Indicates that an individual or team successfully qualified for and participated in the postseason phase of a competition or league.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecaf6f48190ae7547cc0f8e6efa |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.