Triple
T14947276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 FIBA Africa Championship |
E372697
|
entity |
| Predicate | groupsLabel |
P16559
|
FINISHED |
| Object | Group A |
—
|
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: Group A | Statement: [2005 FIBA Africa Championship, groupsLabel, Group A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupsLabel Context triple: [2005 FIBA Africa Championship, groupsLabel, Group A]
-
A.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
-
B.
labelGroup
chosen
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
-
C.
roleOfGroup
Indicates the function, responsibility, or position that a group holds within a broader context or structure.
-
D.
representedGroups
Indicates that an entity serves as an official or recognized representative for one or more groups.
-
E.
groupTogether
Indicates that multiple entities are treated or arranged as a single collective unit or set.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.