Triple
T23750404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henning Berg |
E586946
|
entity |
| Predicate | clubForPremierLeagueTitle |
P87981
|
FINISHED |
| Object | Blackburn Rovers F.C. |
—
|
NE NERFINISHED |
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: Blackburn Rovers F.C. | Statement: [Henning Berg, clubForPremierLeagueTitle, Blackburn Rovers F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubForPremierLeagueTitle Context triple: [Henning Berg, clubForPremierLeagueTitle, Blackburn Rovers F.C.]
-
A.
isPremierLeagueOf
Indicates that a football club participates in or belongs to the Premier League competition.
-
B.
premiershipLeague
Indicates that an entity participates in or is associated with the top-tier Premiership league competition.
-
C.
wonPremierLeague
chosen
Indicates that the subject has achieved victory in the Premier League competition for at least one season.
-
D.
capacityRankInPremierLeague
Indicates the relative position of an entity’s stadium capacity compared to other entities within the Premier League.
-
E.
LeagueCupTitles
Indicates the number of league cup championships 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc1d4e8819099d3b4136f28f0c6 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:13 p.m.