Triple
T23912580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nike Oregon Project |
E601982
|
entity |
| Predicate | athleteAchievement |
P109049
|
FINISHED |
| Object | Olympic gold medals by Mo Farah |
—
|
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: Olympic gold medals by Mo Farah | Statement: [Nike Oregon Project, athleteAchievement, Olympic gold medals by Mo Farah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleteAchievement Context triple: [Nike Oregon Project, athleteAchievement, Olympic gold medals by Mo Farah]
-
A.
sportsAchievement
Indicates a relationship where an entity attains or is recognized for a notable accomplishment in a sports context.
-
B.
notableMemberAchievement
chosen
Indicates that a member of a group or organization has accomplished something particularly significant or distinguished.
-
C.
notableMedalSport
Indicates that the sport specified is the one in which the entity received a notable medal or award.
-
D.
notablePlayerAchievement
Indicates that a player has accomplished a particularly significant or distinguished achievement within their activity or domain.
-
E.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce96c47881908ccb17ef9f750676 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:39 p.m.