Triple
T22135326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandbach railway station |
E547010
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
SDB
SDB is the National Rail station code for Sandbach railway station in Cheshire, England.
|
E1519231
|
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: SDB | Statement: [Sandbach railway station, hasStationCode, SDB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDB Context triple: [Sandbach railway station, hasStationCode, SDB]
-
A.
SDB
SDB is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
-
B.
SDBOR
SDBOR is the governing body responsible for overseeing South Dakota’s public universities and special schools.
-
C.
S.D.B.
S.D.B. is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
-
D.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
E.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
- 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: SDB Triple: [Sandbach railway station, hasStationCode, SDB]
Generated description
SDB is the National Rail station code for Sandbach railway station in Cheshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SDB Target entity description: SDB is the National Rail station code for Sandbach railway station in Cheshire, England.
-
A.
SDB
SDB is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
-
B.
SDBOR
SDBOR is the governing body responsible for overseeing South Dakota’s public universities and special schools.
-
C.
S.D.B.
S.D.B. is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
-
D.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
E.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b9ee54819081141c4f28e1211a |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f2d07348190acfd0f68c4e61145 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a8fe7f5508190895539cadb71b826 |
completed | May 18, 2026, 4:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a90813ad081908451eafee75ac058 |
completed | May 18, 2026, 4:07 a.m. |
Created at: April 16, 2026, 8:32 p.m.