Triple
T1306105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRSM diploma |
E27881
|
entity |
| Predicate | hasPathway |
P27773
|
FINISHED |
| Object | performance |
—
|
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: performance | Statement: [LRSM diploma, hasPathway, performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPathway Context triple: [LRSM diploma, hasPathway, performance]
-
A.
hasPlayerPathway
Indicates that there is a defined developmental or progression route available for a player within a given context or system.
-
B.
isPassedThroughBy
Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
-
C.
developmentPathwayFor
Indicates that one entity serves as a route, mechanism, or process through which the development or progression of another entity occurs.
-
D.
hasEasiestRoute
Indicates that one entity provides or represents the simplest or least difficult route or path to reach another entity or destination.
-
E.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
- F. None of above. chosen
Provenance (4 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:51 p.m.