Triple
T6737284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rural Utilities Service |
E153987
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | RUS |
E153987
|
NE 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: RUS | Statement: [Rural Utilities Service, acronym, RUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RUS Context triple: [Rural Utilities Service, acronym, RUS]
-
A.
RUS
RUS is the National Rail station code assigned to Russell Square station in London.
-
B.
RUS
chosen
RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
-
C.
Rus
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
-
D.
RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
-
E.
RU
RU is the two-letter ISO 3166 country code for the Russian Federation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1850a288190aa7e647fefbb0ede |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0b97248190bf6bac160fe3d45b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.