Triple
T29390889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Category |
E745365
|
entity |
| Predicate | usesOrganizationRulesFrom |
P6249
|
FINISHED |
| Object | World Robot Olympiad Association |
—
|
NE NERFINISHED |
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: World Robot Olympiad Association | Statement: [Open Category, usesOrganizationRulesFrom, World Robot Olympiad Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOrganizationRulesFrom Context triple: [Open Category, usesOrganizationRulesFrom, World Robot Olympiad Association]
-
A.
usesRulesFrom
chosen
Indicates that one entity applies, follows, or is governed by the rules defined or provided by another entity.
-
B.
usesOrganization
Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
-
C.
definedByOrganization
Indicates that something is formally established, specified, or determined by a particular organization.
-
D.
includesOrganization
Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
-
E.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d648488190b7d3060432eb0eeb |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 2:42 p.m.