Triple
T5026194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospect Park Tennis Center |
E113180
|
entity |
| Predicate | skillLevelServed |
P56693
|
FINISHED |
| Object | beginner |
—
|
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: beginner | Statement: [Prospect Park Tennis Center, skillLevelServed, beginner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skillLevelServed Context triple: [Prospect Park Tennis Center, skillLevelServed, beginner]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
requiresSkillLevel
chosen
Indicates that performing or engaging in something depends on possessing at least a specified level of skill.
-
C.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
D.
skillAssessed
Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
-
E.
skillSet
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738c3aac81908fb6a5c70c97a394 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.