Triple
T12170312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSRTI |
E289942
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | OSRTI |
E289942
|
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: OSRTI | Statement: [OSRTI, hasAbbreviation, OSRTI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSRTI Context triple: [OSRTI, hasAbbreviation, OSRTI]
-
A.
OSRTI
chosen
OSRTI is a U.S. Environmental Protection Agency office responsible for overseeing and advancing cleanup and remediation technologies at hazardous waste and Superfund sites.
-
B.
OSRHE
OSRHE is the coordinating board that oversees Oklahoma’s public colleges and universities, setting policies, academic standards, and budget recommendations for the state’s higher education system.
-
C.
RTSI
RTSI is the commonly used abbreviation for the RTS Index, a benchmark stock market index tracking major companies listed on the Moscow Exchange.
-
D.
OST-R
OST-R is the U.S. Department of Transportation’s Office of the Assistant Secretary for Research and Technology, which oversees transportation research, innovation, and data initiatives.
-
E.
ORAU
ORAU is a consortium of American universities that partners with government agencies and national laboratories to advance scientific research, education, and workforce development, particularly in fields related to energy, health, and national security.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a45568819090662cd3547c9253 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.