Triple
T9581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Education |
E193
|
entity |
| Predicate | trains |
P788
|
FINISHED |
| Object | education scholars |
—
|
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: education scholars | Statement: [Graduate School of Education, trains, education scholars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trains Context triple: [Graduate School of Education, trains, education scholars]
-
A.
transportation
Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
-
B.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
-
C.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
-
D.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
E.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a240b249788190af8dbf7e80e9c91b |
completed | Feb. 28, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69a23fe52ec48190a4d24101c91434ed |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a240b1551c81908abcae128ea45d00 |
completed | Feb. 28, 2026, 1:11 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.