Triple
T37080374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makepekepe |
E918127
|
entity |
| Predicate | associatedClubDomesticCups |
P205714
|
FINISHED |
| Object | multiple Zimbabwean domestic cup wins |
—
|
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: multiple Zimbabwean domestic cup wins | Statement: [Makepekepe, associatedClubDomesticCups, multiple Zimbabwean domestic cup wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubDomesticCups Context triple: [Makepekepe, associatedClubDomesticCups, multiple Zimbabwean domestic cup wins]
-
A.
associatedClubUEFACompetition
Indicates that a club is linked to, or participates in, a specific UEFA-organized competition.
-
B.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
-
E.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.