Triple
T9963808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull and Barnsley Railway |
E195630
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
H&BR
H&BR is the abbreviation for the Hull and Barnsley Railway, a former British railway company that operated in Yorkshire, England.
|
E831623
|
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: H&BR | Statement: [Hull and Barnsley Railway, hasAbbreviation, H&BR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H&BR Context triple: [Hull and Barnsley Railway, hasAbbreviation, H&BR]
-
A.
R.Br.
R.Br. is the standard botanical author abbreviation for Robert Brown, a pioneering Scottish botanist known for his work on plant taxonomy and the discovery of Brownian motion.
-
B.
HBN
HBN is the National Rail station code assigned to Holborn station in London.
-
C.
HB
HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
-
D.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
E.
H&W
H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
- 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: H&BR Triple: [Hull and Barnsley Railway, hasAbbreviation, H&BR]
Generated description
H&BR is the abbreviation for the Hull and Barnsley Railway, a former British railway company that operated in Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H&BR Target entity description: H&BR is the abbreviation for the Hull and Barnsley Railway, a former British railway company that operated in Yorkshire, England.
-
A.
R.Br.
R.Br. is the standard botanical author abbreviation for Robert Brown, a pioneering Scottish botanist known for his work on plant taxonomy and the discovery of Brownian motion.
-
B.
HBN
HBN is the National Rail station code assigned to Holborn station in London.
-
C.
HB
HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
-
D.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
E.
H&W
H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71a33b48190a18c1a9023f249d2 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d993404819089c9a71d03721e0b |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23ec0a63c819082c2458aff4ae79e |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d23f560f28819080716aabd7f4ff32 |
completed | April 5, 2026, 10:54 a.m. |
Created at: March 30, 2026, 8:47 p.m.