Triple
T370319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center for Scientific Review |
E8253
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CSR |
E46873
|
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: CSR | Statement: [Center for Scientific Review, hasAbbreviation, CSR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSR Context triple: [Center for Scientific Review, hasAbbreviation, CSR]
-
A.
CSR
chosen
CSR is the Center for Scientific Review at the U.S. National Institutes of Health, which organizes the peer review of most NIH grant applications.
-
B.
SEC
The SEC (Southeastern Conference) is a major collegiate athletic conference in the United States known for its powerhouse sports programs, especially in college football.
-
C.
CSA
CSA is the Canadian Space Agency, the national organization responsible for Canada’s civil space program and space research activities.
-
D.
ISO 26000
ISO 26000 is an international guidance standard that provides organizations with principles and best practices for social responsibility and sustainable development.
-
E.
CSD
CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebff472881909fad81d597425ea6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f0a78c748190ae5e64919f1d6501 |
completed | March 1, 2026, 7:54 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.