Triple
T14600214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom (TV series score) |
E342683
|
entity |
| Predicate | associatedWithSportInSeries |
P33119
|
FINISHED |
| Object | mixed martial arts |
—
|
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: mixed martial arts | Statement: [Kingdom (TV series score), associatedWithSportInSeries, mixed martial arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSportInSeries Context triple: [Kingdom (TV series score), associatedWithSportInSeries, mixed martial arts]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
associatedWithCompetition
Indicates that there is a relationship or involvement between an entity and a specific competition or competitive event.
-
C.
associatedWithSportMarket
Indicates a relationship where an entity is connected or linked to a specific sport-related market or segment within the sports industry.
-
D.
competesInAssociation
Indicates that an entity participates as a competitor within a specified association, league, or organized competitive body.
-
E.
relationshipTypeWithSport
chosen
Indicates the specific type or nature of the relationship an entity has with a particular sport (e.g., participation, affiliation, or role).
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.