Triple
T22619642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UM |
E558239
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | YERUN |
—
|
NE NERFINISHED |
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: YERUN | Statement: [UM, memberOf, YERUN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YERUN Context triple: [UM, memberOf, YERUN]
-
A.
YERUN
chosen
YERUN (Young European Research Universities Network) is a collaborative association of young, research-intensive European universities focused on promoting academic excellence, mobility, and joint initiatives in education and research.
-
B.
YRK
YRK is the National Rail station code for York railway station, a major historic rail hub in North Yorkshire, England.
-
C.
Yeyin
Yeyin is a small coastal settlement on Orchid Island, Taiwan, known for its indigenous Tao culture and traditional fishing lifestyle.
-
D.
Yateras
Yateras is a municipality in eastern Cuba known for its rural communities and mountainous landscapes within Guantánamo Province.
-
E.
YRP
YRP is the regional police service responsible for law enforcement and public safety in Ontario’s York Region, just north of Toronto.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e383b048190a432c540185916d0 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.