Triple
T36507694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan Cup |
E899513
|
entity |
| Predicate | hasHomeGrounds |
P136907
|
FINISHED |
| Object | Harare Sports Club |
—
|
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: Harare Sports Club | Statement: [Logan Cup, hasHomeGrounds, Harare Sports Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeGrounds Context triple: [Logan Cup, hasHomeGrounds, Harare Sports Club]
-
A.
denotesHomeGroundOf
chosen
Indicates that a particular location serves as the primary home ground or home venue for a specified team, organization, or entity.
-
B.
previousHomeGroundLocatedIn
Indicates that the location specified is where an entity’s former or earlier home ground was situated.
-
C.
stateOfHomeGround
Indicates the location or region that serves as an entity’s primary home ground or base of operations.
-
D.
primaryHomeGroundNot
Indicates that the specified location is explicitly not the entity’s primary home ground.
-
E.
homeGroundAlternateName
Indicates that an alternative or secondary name is used to refer to a particular home ground.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 3, 2026, 4:10 p.m.