Triple
T16690472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Soviet Republic |
E405580
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CSR |
E405580
|
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: [Chinese Soviet Republic, shortName, CSR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSR Context triple: [Chinese Soviet Republic, shortName, CSR]
-
A.
CSR
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.
CSR
chosen
CSR is the commonly used abbreviation for the Chinese Soviet Republic, a short-lived communist state established in the early 1930s in parts of China under Chinese Communist Party control.
-
C.
BSR
BSR is the abbreviated name for Germany’s Federal Security Council, the federal government body responsible for coordinating national security and arms export policy.
-
D.
BSR
BSR is the National Rail station code for Broadstairs railway station in Kent, England.
-
E.
BSR
BSR is the railway station code for Vasai Road, a major suburban and junction station in the Mumbai railway network.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea8cabc8190ba321503399960da |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.