Triple
T2477846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selected Reserve |
E55130
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SELRES |
E269891
|
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: SELRES | Statement: [Selected Reserve, hasAbbreviation, SELRES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SELRES Context triple: [Selected Reserve, hasAbbreviation, SELRES]
-
A.
SELRES
chosen
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.
-
B.
SRES
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.
-
C.
RSE
RSE is the commonly used abbreviation for the Royal Society of Edinburgh, Scotland’s national academy of science and letters.
-
D.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
E.
Resuk
Resuk is an indigenous local language spoken by the community on Atauro Island in Timor-Leste.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd14ef7d081909159be158bc0ce45 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f8990488190bc54cc5eadf11baa |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.