Triple
T7947163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRES |
E184525
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SRES |
E184525
|
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: SRES | Statement: [SRES, abbreviation, SRES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRES Context triple: [SRES, abbreviation, SRES]
-
A.
SRES
chosen
SRES is the School of Resources and Environmental Science at Wuhan University, a faculty focused on education and research in natural resources, geography, and environmental science.
-
B.
SELRES
SELRES is the commonly used abbreviation for the Selected Reserve, the primary pool of trained military reservists who are ready for rapid mobilization and deployment.
-
C.
RES
RES is the abbreviation for Rail Express Systems, a former British Rail sector that specialized in high-speed mail and parcels services.
-
D.
RSE
RSE is the commonly used abbreviation for the Royal Society of Edinburgh, Scotland’s national academy of science and letters.
-
E.
RSE
RSE (RFC Series Editor) is the role responsible for overseeing the editorial management, quality, and evolution of the RFC (Request for Comments) document series within the Internet standards process.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2abdbc819085ae53826d36af3b |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:09 p.m.