Triple
T36844049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasing Great |
E910489
|
entity |
| Predicate | portraysLevelOfSport |
P57674
|
FINISHED |
| Object | international rugby union |
—
|
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: international rugby union | Statement: [Chasing Great, portraysLevelOfSport, international rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysLevelOfSport Context triple: [Chasing Great, portraysLevelOfSport, international rugby union]
-
A.
portraysSport
chosen
Indicates that one entity visually or narratively represents or depicts a particular sport.
-
B.
representsSportLevel
Indicates that an entity participates in or is associated with a particular level or tier within a sport.
-
C.
sportsLevel
Indicates the degree or intensity of involvement, skill, or competitiveness associated with a sport or sporting activity.
-
D.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
-
E.
governsSportLevel
Indicates that one entity has authority to set, control, or regulate the competitive level or tier at which a sport or sporting activity is conducted.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:13 p.m.