Triple
T35492835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Tag League |
E1025775
|
entity |
| Predicate | pointSystemDetails |
P64949
|
FINISHED |
| Object | teams earn points for wins and draws in block competition |
—
|
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: teams earn points for wins and draws in block competition | Statement: [World Tag League, pointSystemDetails, teams earn points for wins and draws in block competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointSystemDetails Context triple: [World Tag League, pointSystemDetails, teams earn points for wins and draws in block competition]
-
A.
pointsSystemManagedBy
Indicates that the points system is overseen, controlled, or administered by a specified managing entity.
-
B.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
-
C.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
D.
rankingPointsAwardedBy
Indicates the number of ranking points granted by a particular source or authority to an entity.
-
E.
usesPointsSystem
chosen
Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.