Triple
T22343177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summary Reporting System |
E552325
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SRS
SRS is an abbreviated name commonly used for the Summary Reporting System, a framework for compiling and presenting aggregated data or results.
|
E1530885
|
NE FINISHED |
How this triple was built (4 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: SRS | Statement: [Summary Reporting System, shortName, SRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRS Context triple: [Summary Reporting System, shortName, SRS]
-
A.
SRS
SRS is the National Rail station code for Selhurst railway station in the London Borough of Croydon, England.
-
B.
SRSO
SRSO is the commonly used abbreviation for the Swedish Radio Symphony Orchestra, one of Sweden’s leading professional orchestras based in Stockholm.
-
C.
SRS WOW
SRS WOW is an audio enhancement technology designed to improve perceived sound quality, spatialization, and bass response in consumer listening devices.
-
D.
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.
-
E.
SRS Distribution
SRS Distribution is a leading U.S. roofing and building products distributor that partners with contractors and suppliers nationwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SRS Triple: [Summary Reporting System, shortName, SRS]
Generated description
SRS is an abbreviated name commonly used for the Summary Reporting System, a framework for compiling and presenting aggregated data or results.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SRS Target entity description: SRS is an abbreviated name commonly used for the Summary Reporting System, a framework for compiling and presenting aggregated data or results.
-
A.
SRS
SRS is the National Rail station code for Selhurst railway station in the London Borough of Croydon, England.
-
B.
SRSO
SRSO is the commonly used abbreviation for the Swedish Radio Symphony Orchestra, one of Sweden’s leading professional orchestras based in Stockholm.
-
C.
SRS WOW
SRS WOW is an audio enhancement technology designed to improve perceived sound quality, spatialization, and bass response in consumer listening devices.
-
D.
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.
-
E.
SRS Distribution
SRS Distribution is a leading U.S. roofing and building products distributor that partners with contractors and suppliers nationwide.
- F. None of above. chosen
Provenance (5 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15795b2a881908d6cb8f97443ca17 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad52f90ac8190b86835cb706986a3 |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad9947a8481909b36b72d15432d63 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada8fe7208190bc1143e328abc112 |
completed | May 18, 2026, 9:23 a.m. |
Created at: April 16, 2026, 8:43 p.m.