Triple
T13435131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cromford railway station |
E320209
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CMF
CMF is the National Rail station code for Cromford railway station in Derbyshire, England.
|
E1041674
|
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: CMF | Statement: [Cromford railway station, hasStationCode, CMF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMF Context triple: [Cromford railway station, hasStationCode, CMF]
-
A.
CMF
CMF is the abbreviated name for the Ministerial Conference of La Francophonie, a key governing body within the international Francophone organization.
-
B.
CMF
CMF is the commonly used abbreviation for the Claretian Missionaries, a Roman Catholic religious congregation founded by Saint Anthony Mary Claret dedicated to evangelization, education, and social justice worldwide.
-
C.
CMF
CMF is the IATA airport code for Chambéry Airport, a regional airport in southeastern France serving the Savoie area and nearby Alpine ski destinations.
-
D.
CMF
CMF is Chile’s financial market commission, the government regulator overseeing the country’s banking, securities, and insurance sectors.
-
E.
CMF
CMF is a multinational naval partnership that coordinates maritime security and counter-piracy operations across key international waterways.
- 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: CMF Triple: [Cromford railway station, hasStationCode, CMF]
Generated description
CMF is the National Rail station code for Cromford railway station in Derbyshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CMF Target entity description: CMF is the National Rail station code for Cromford railway station in Derbyshire, England.
-
A.
CMF
CMF is the commonly used abbreviation for the Claretian Missionaries, a Roman Catholic religious congregation founded by Saint Anthony Mary Claret dedicated to evangelization, education, and social justice worldwide.
-
B.
CMF
CMF is the abbreviated name for the Ministerial Conference of La Francophonie, a key governing body within the international Francophone organization.
-
C.
CMF
CMF is Chile’s financial market commission, the government regulator overseeing the country’s banking, securities, and insurance sectors.
-
D.
CMF
CMF is a multinational naval partnership that coordinates maritime security and counter-piracy operations across key international waterways.
-
E.
CMF
CMF is the IATA airport code for Chambéry Airport, a regional airport in southeastern France serving the Savoie area and nearby Alpine ski destinations.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.