Triple
T10561621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crowthorne railway station |
E249230
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CRN
CRN is the National Rail station code for Crowthorne railway station in Berkshire, England.
|
E871534
|
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: CRN | Statement: [Crowthorne railway station, hasStationCode, CRN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRN Context triple: [Crowthorne railway station, hasStationCode, CRN]
-
A.
CRN
CRN is the ICAO airline designator assigned to the Cuban regional carrier AeroCaribbean.
-
B.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
C.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
-
D.
CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
-
E.
CNA
CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
- 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: CRN Triple: [Crowthorne railway station, hasStationCode, CRN]
Generated description
CRN is the National Rail station code for Crowthorne railway station in Berkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CRN Target entity description: CRN is the National Rail station code for Crowthorne railway station in Berkshire, England.
-
A.
CRN
CRN is the ICAO airline designator assigned to the Cuban regional carrier AeroCaribbean.
-
B.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
C.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
-
D.
CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
-
E.
CNA
CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52720621c8190a1126268ebe57c83 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93491d2408190b5f54afddbb51ec4 |
completed | April 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69d939111a648190b6797c4870f61796 |
completed | April 10, 2026, 5:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d93dd9f8a0819092d647a765d62fcd |
completed | April 10, 2026, 6:13 p.m. |
Created at: April 6, 2026, 12:35 p.m.