Triple
T21530484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Arbitration Forum |
E531212
|
entity |
| Predicate | appliesPolicy |
P1051
|
FINISHED |
| Object | URS |
—
|
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: URS | Statement: [National Arbitration Forum, appliesPolicy, URS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: URS Context triple: [National Arbitration Forum, appliesPolicy, URS]
-
A.
URS
chosen
URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
-
B.
UrSU
UrSU is a higher education institution located in Urgench, Uzbekistan, offering a range of undergraduate and graduate programs across various disciplines.
-
C.
UR
UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
-
D.
UR
UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
-
E.
UR
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d08ebf881909574e098404f93fa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.