Triple
T20363237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Briton Ferry railway station |
E496836
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BNF
BNF is the National Rail station code for Briton Ferry railway station in Neath Port Talbot, Wales.
|
E1426281
|
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: BNF | Statement: [Briton Ferry railway station, hasStationCode, BNF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BNF Context triple: [Briton Ferry railway station, hasStationCode, BNF]
-
A.
Backus–Naur Form
Backus–Naur Form is a formal notation used to define the syntax of programming languages and other formal grammars in a precise, structured way.
-
B.
Augmented Backus–Naur Form
Augmented Backus–Naur Form (ABNF) is a standardized, extended version of Backus–Naur Form used to formally specify the syntax of languages and protocols, notably in Internet and communication standards.
-
C.
CFG
CFG is the ICAO airline designator for Condor, a German leisure airline known for its holiday-focused flights, particularly to vacation destinations.
-
D.
CFG
CFG is the IATA airport code for Jaime González Airport serving Cienfuegos, Cuba.
-
E.
CFG
CFG is the commonly used abbreviation for Chemische Fabrik Griesheim-Elektron, a historic German chemical manufacturing 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: BNF Triple: [Briton Ferry railway station, hasStationCode, BNF]
Generated description
BNF is the National Rail station code for Briton Ferry railway station in Neath Port Talbot, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BNF Target entity description: BNF is the National Rail station code for Briton Ferry railway station in Neath Port Talbot, Wales.
-
A.
Backus–Naur Form
Backus–Naur Form is a formal notation used to define the syntax of programming languages and other formal grammars in a precise, structured way.
-
B.
Augmented Backus–Naur Form
Augmented Backus–Naur Form (ABNF) is a standardized, extended version of Backus–Naur Form used to formally specify the syntax of languages and protocols, notably in Internet and communication standards.
-
C.
CFG
CFG is the ICAO airline designator for Condor, a German leisure airline known for its holiday-focused flights, particularly to vacation destinations.
-
D.
CFG
CFG is the IATA airport code for Jaime González Airport serving Cienfuegos, Cuba.
-
E.
CFG
CFG is the commonly used abbreviation for Chemische Fabrik Griesheim-Elektron, a historic German chemical manufacturing 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786fd0088190908187ab642344cc |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087087c86c8190b9964ba4b82abdec |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a087129ce3c8190a67ac34ec697ad31 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871e3573c81908216b5e508374081 |
completed | May 16, 2026, 1:32 p.m. |
Created at: April 16, 2026, 11:26 a.m.