Triple
T11343292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kupkari |
E268652
|
entity |
| Predicate | hasGoalType |
P72446
|
FINISHED |
| Object | designated scoring area |
—
|
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: designated scoring area | Statement: [kupkari, hasGoalType, designated scoring area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoalType Context triple: [kupkari, hasGoalType, designated scoring area]
-
A.
goalType
chosen
Indicates the specific category or nature of a goal associated with an entity or action.
-
B.
supportsGoalType
Indicates that one entity is compatible with, or designed to facilitate, a particular type or category of goal.
-
C.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
D.
hasPlanningGoal
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
E.
directGoalType
Indicates that one entity serves as the immediate or primary goal type that another entity is directly aiming to achieve or realize.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.