Triple
T8065808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.League Cup |
E188239
|
entity |
| Predicate | usesTwoLeggedTiesInSomeRounds |
P52770
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [J.League Cup, usesTwoLeggedTiesInSomeRounds, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTwoLeggedTiesInSomeRounds Context triple: [J.League Cup, usesTwoLeggedTiesInSomeRounds, true]
-
A.
usesTwoLeggedTies
chosen
Indicates that one entity employs or applies two-legged ties in relation to another entity or context.
-
B.
hasTieDowns
Indicates that an object, structure, or vehicle is equipped with tie-down points or devices for securing loads or attachments.
-
C.
hasTieGame
Indicates that a game or match has ended with both sides having the same score, resulting in no winner.
-
D.
typeOfTie
Indicates the specific kind or category of relationship or connection that exists between two entities.
-
E.
maintainsTieWith
Indicates that one entity keeps an ongoing connection or relationship with another entity over time.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.