Triple
T4378225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Conference (WHL) |
E99059
|
entity |
| Predicate | conferenceCountInLeague |
P8309
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Western Conference (WHL), conferenceCountInLeague, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceCountInLeague Context triple: [Western Conference (WHL), conferenceCountInLeague, 2]
-
A.
hasNumberOfConferencesInLeague
chosen
Indicates the quantity of conferences that exist within a given league.
-
B.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
C.
typicalConferenceLeagueSpots
Indicates the usual number of qualification spots a league provides for the UEFA Europa Conference League based on its standard allocation rules.
-
D.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
-
E.
associatedChampionshipCount
Indicates the number of championships that are linked or related to a given entity.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35240092c81908e26ff607d665e7a |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.