Triple
T29234889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanzania national football team |
E741166
|
entity |
| Predicate | cecafamember |
P166446
|
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: [Tanzania national football team, cecafamember, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cecafamember Context triple: [Tanzania national football team, cecafamember, true]
-
A.
cafMember
Indicates that an entity is a member of a specific club, association, or formal group.
-
B.
affMember
Indicates that an entity is affiliated as a member of another entity, such as an organization, group, or institution.
-
C.
CAFMemberSince
Indicates that an entity has been a member of the CAF (or a specified organization/group named CAF) since a particular date or point in time.
-
D.
creditedMember
Indicates that a particular member is formally acknowledged or recognized as having contributed to or been responsible for something.
-
E.
UEFAMembership
Indicates that an entity holds membership or affiliation status within the UEFA organization.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6646309648190806dece783dd9e55 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 12:28 p.m.