Triple
T8917708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of River Protection |
E212333
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ORP |
E212333
|
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: ORP | Statement: [Office of River Protection, abbreviation, ORP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORP Context triple: [Office of River Protection, abbreviation, ORP]
-
A.
ORP
ORP is the National Rail station code for Orpington railway station in the London Borough of Bromley, England.
-
B.
ORP
chosen
ORP is the acronym for the U.S. Department of Energy’s Office of River Protection, which oversees the safe management and cleanup of radioactive tank waste at the Hanford Site in Washington State.
-
C.
ORCP
ORCP is the standard legal abbreviation for the Oregon Rules of Civil Procedure, which govern civil court proceedings in the state of Oregon.
-
D.
ORU
ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
-
E.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba49d65c8190b9d9908822198cc0 |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.