Triple
T1904958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberia national football team |
E37779
|
entity |
| Predicate | wafuMember |
P33824
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Liberia national football team, wafuMember, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wafuMember Context triple: [Liberia national football team, wafuMember, yes]
-
A.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
-
B.
foundingMember
Indicates that an entity is one of the original creators or initial participants involved in establishing another entity, such as an organization, group, or project.
-
C.
wasAmong
Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
-
D.
user
Indicates a relationship where an entity actively operates, controls, or interacts with another entity, typically as the primary agent or consumer of its function.
-
E.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb34c4a64819096e12b152b84c334 |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:35 p.m.