Triple
T2075826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women’s ice hockey tournament |
E44920
|
entity |
| Predicate | expansionYearToEightTeams |
P34791
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [NCAA women’s ice hockey tournament, expansionYearToEightTeams, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expansionYearToEightTeams Context triple: [NCAA women’s ice hockey tournament, expansionYearToEightTeams, 2005]
-
A.
expansionFromPreviousSeason
Indicates that the current season represents an expansion or enlargement relative to the immediately preceding season.
-
B.
numberOfTeamsVariesByYear
Indicates that the number of teams involved changes depending on the specific year.
-
C.
expansionDraftYear
Indicates the year in which an entity (such as a team or franchise) was created or entered a league through an expansion draft.
-
D.
advancesNumberOfTeams
Indicates that one entity causes an increase in how many teams progress or move forward in a given context.
-
E.
expansionTeamIn
Indicates that a sports team entered a league or competition as an expansion team in a specified season, year, or context.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba127dcc81909c2365d455eeb746 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:41 p.m.