Triple
T22888207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best FIFA Women’s Coach |
E567662
|
entity |
| Predicate | hasVotingWeightComponent |
P150133
|
FINISHED |
| Object | coaches |
—
|
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: coaches | Statement: [Best FIFA Women’s Coach, hasVotingWeightComponent, coaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVotingWeightComponent Context triple: [Best FIFA Women’s Coach, hasVotingWeightComponent, coaches]
-
A.
hasVotingPower
Indicates that an entity possesses the authority or capacity to participate in a decision-making or electoral process by casting votes.
-
B.
hasRelativeVotingPower
Indicates that one entity possesses a specified level or proportion of voting power relative to another entity or group.
-
C.
hasVotingStake
Indicates that one entity possesses a share of voting power or decision-making authority in another entity.
-
D.
publicVoteWeight
Indicates that an entity’s influence or impact in a public voting process is quantified by a specific weight or value.
-
E.
hasVotingMembers
Indicates that certain entities are recognized as having individuals or units with the authority to vote within a group, body, or decision-making process.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:40 p.m.