Triple
T7687695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canterbury West railway station |
E174161
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
CBW
CBW is the National Rail station code for Canterbury West railway station in Canterbury, Kent, England.
|
E680785
|
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: CBW | Statement: [Canterbury West railway station, stationCode, CBW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBW Context triple: [Canterbury West railway station, stationCode, CBW]
-
A.
CB
CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
-
B.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
C.
CB
CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
-
D.
BCT
BCT is the Central Bank of Tunisia, the country’s primary monetary authority responsible for issuing currency and overseeing financial stability.
-
E.
BCT
BCT is the initial military training program that transforms civilian recruits into basic soldiers by teaching fundamental combat, discipline, and physical fitness skills.
- 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: CBW Triple: [Canterbury West railway station, stationCode, CBW]
Generated description
CBW is the National Rail station code for Canterbury West railway station in Canterbury, Kent, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CBW Target entity description: CBW is the National Rail station code for Canterbury West railway station in Canterbury, Kent, England.
-
A.
CB
CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
-
B.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
C.
CB
CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
-
D.
BCT
BCT is the Central Bank of Tunisia, the country’s primary monetary authority responsible for issuing currency and overseeing financial stability.
-
E.
BCT
BCT is the initial military training program that transforms civilian recruits into basic soldiers by teaching fundamental combat, discipline, and physical fitness skills.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022530e481908ba8d531bb915214 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a261019c8190b8ef53bfb611cef4 |
completed | March 29, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c8a2d073b08190a056e23cfdf13983 |
completed | March 29, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a37fabe481908c7da8a5d71a3f1c |
completed | March 29, 2026, 3:58 a.m. |
Created at: March 27, 2026, 4:02 p.m.