Triple
T8611597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Robot Olympiad |
E203924
|
entity |
| Predicate | requiresCoach |
P83877
|
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: [World Robot Olympiad, requiresCoach, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresCoach Context triple: [World Robot Olympiad, requiresCoach, yes]
-
A.
requiresTraining
Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
-
B.
usesCoachType
Indicates that an entity employs or operates a specific type or category of coach (e.g., vehicle or carriage) in its service or context.
-
C.
basedInAsCoach
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
D.
hasCoachCharacter
Indicates that one entity serves as the coach or trainer character associated with another entity.
-
E.
coachedUntil
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46fc31e08190aab5ab8f92f3315c |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:25 p.m.