Triple
T36333161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesliga 1978–79 with Hamburger SV |
E894706
|
entity |
| Predicate | clubWonChampionship |
P185138
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bundesliga 1978–79 with Hamburger SV, clubWonChampionship, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubWonChampionship Context triple: [Bundesliga 1978–79 with Hamburger SV, clubWonChampionship, true]
-
A.
hasWonPlayersChampionship
Indicates that the subject has won The Players Championship golf tournament at least once.
-
B.
conferenceChampionshipWonWith
Indicates that an entity won a conference championship while being associated with or using another specified entity (such as a team, coach, or organization).
-
C.
winForChampions
Indicates that the outcome of an event or competition results in a victory for the champions.
-
D.
competitionWonWith
Indicates that a competition was won using, involving, or in association with a particular participant, method, tool, or resource.
-
E.
hasWonTourChampionship
Indicates that an entity has achieved victory in a Tour Championship event or title.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bb3f23f48190b0b9c2d667e09b52 |
completed | May 3, 2026, 9:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.