Triple
T38263319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 WHA playoffs |
E1017984
|
entity |
| Predicate | championLeagueTitle |
P156959
|
FINISHED |
| Object | Avco World Trophy winner |
—
|
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: Avco World Trophy winner | Statement: [1977 WHA playoffs, championLeagueTitle, Avco World Trophy winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championLeagueTitle Context triple: [1977 WHA playoffs, championLeagueTitle, Avco World Trophy winner]
-
A.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
B.
championshipLeague
Indicates that an entity is a championship-level competition or league in which teams or individuals compete for a title.
-
C.
championLeagueLevel
Indicates the competitive tier or division of a league in which a champion or team competes.
-
D.
championsTitleWonBy
chosen
Indicates that a particular championship title is held or has been won by a specific entity.
-
E.
leagueChampionships
Indicates the number of league championship titles an entity has won.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:30 p.m.