Triple
T26006613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Whites |
E646776
|
entity |
| Predicate | associatedClubHomeStadiumCity |
P164581
|
FINISHED |
| Object | Sofia |
—
|
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: Sofia | Statement: [The Whites, associatedClubHomeStadiumCity, Sofia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubHomeStadiumCity Context triple: [The Whites, associatedClubHomeStadiumCity, Sofia]
-
A.
parentClubStadium
Indicates that a stadium serves as the home venue associated with a particular parent club.
-
B.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
C.
homeGroundOfAssociatedClub
chosen
Indicates that a particular venue or ground serves as the designated home location for an associated sports club.
-
D.
locatedAtStadiumOfClub
Indicates that something is situated in the stadium that belongs to or is used by a particular sports club.
-
E.
associatedClubCommonName
Indicates that there is a relationship linking an entity to the commonly used or popular name of a club with which it is associated.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 22, 2026, 9 a.m.