Triple
T20687685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar Hunt U.S. Open Cup seasons |
E508462
|
entity |
| Predicate | haveRuleSet |
P6248
|
FINISHED |
| Object | U.S. Soccer competition regulations |
—
|
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: U.S. Soccer competition regulations | Statement: [Lamar Hunt U.S. Open Cup seasons, haveRuleSet, U.S. Soccer competition regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveRuleSet Context triple: [Lamar Hunt U.S. Open Cup seasons, haveRuleSet, U.S. Soccer competition regulations]
-
A.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
B.
hasRuleFor
Indicates that one entity defines or applies a rule that governs or constrains another entity or situation.
-
C.
hasRuleOver
Indicates that one entity holds authority, control, or governance over another entity.
-
D.
hasNumberOfRules
Indicates the specific count of rules associated with or applicable to an entity.
-
E.
hasRulebook
chosen
Indicates that one entity possesses, is governed by, or is associated with a specific rulebook.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaddfe88190897b8963fa8b2245 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:45 a.m.