Triple
T22288984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS All-Star Skills Challenge |
E550939
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | MLS Homegrown Game |
—
|
NE NERFINISHED |
How this triple was built (3 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: MLS Homegrown Game | Statement: [MLS All-Star Skills Challenge, relatedTo, MLS Homegrown Game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLS Homegrown Game Context triple: [MLS All-Star Skills Challenge, relatedTo, MLS Homegrown Game]
-
A.
Major League Soccer All-Star Game
The Major League Soccer All-Star Game is an annual exhibition match that showcases top MLS players, often facing a prominent international club or selected all-star opponents.
-
B.
MLS All-Star
MLS All-Star is an annual honor in Major League Soccer recognizing the league’s top-performing players selected to participate in the MLS All-Star Game.
-
C.
MLS
MLS is a satellite-based Microwave Limb Sounder instrument used to measure atmospheric temperature, composition, and dynamics by observing microwave emissions along the Earth’s limb.
-
D.
MLS
MLS is an international framework that facilitates the shared access to plant genetic resources and ensures fair and equitable benefit-sharing among its participants.
-
E.
MLS All-Star Skills Challenge
The MLS All-Star Skills Challenge is a showcase event where top Major League Soccer players compete in entertaining technical skill competitions as part of the league’s All-Star festivities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLS Homegrown Game Target entity description: The MLS Homegrown Game is an annual exhibition match showcasing young, club-developed Major League Soccer players as part of the league’s All-Star festivities.
-
A.
Major League Soccer All-Star Game
The Major League Soccer All-Star Game is an annual exhibition match that showcases top MLS players, often facing a prominent international club or selected all-star opponents.
-
B.
MLS All-Star
MLS All-Star is an annual honor in Major League Soccer recognizing the league’s top-performing players selected to participate in the MLS All-Star Game.
-
C.
MLS
MLS is a satellite-based Microwave Limb Sounder instrument used to measure atmospheric temperature, composition, and dynamics by observing microwave emissions along the Earth’s limb.
-
D.
MLS
MLS is an international framework that facilitates the shared access to plant genetic resources and ensures fair and equitable benefit-sharing among its participants.
-
E.
MLS All-Star Skills Challenge
The MLS All-Star Skills Challenge is a showcase event where top Major League Soccer players compete in entertaining technical skill competitions as part of the league’s All-Star festivities.
- F. None of above. chosen
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15609854c81908adb7681cff2c404 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.