Triple
T15188920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chippenham railway station |
E362952
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
CPM
CPM is the National Rail station code assigned to Chippenham railway station in Wiltshire, England.
|
E1141796
|
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: CPM | Statement: [Chippenham railway station, railwayStationCode, CPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CPM Context triple: [Chippenham railway station, railwayStationCode, CPM]
-
A.
CPMP
CPMP is the former scientific committee of the European Medicines Agency responsible for evaluating and providing opinions on the quality, safety, and efficacy of human medicinal products in the EU.
-
B.
CPS
CPS is the principal public agency in England and Wales responsible for prosecuting criminal cases investigated by the police.
-
C.
CPS
CPS is the commonly used abbreviation for Chicago Public Schools, the third-largest school district in the United States.
-
D.
CPS
CPS is the three-letter IATA airport code for St. Louis Downtown Airport, a regional airport serving the St. Louis metropolitan area.
-
E.
CPC
CPC is the abbreviated name for the Commonwealth Parliamentary Conference, a major annual gathering of parliamentarians from Commonwealth countries to discuss governance and legislative issues.
- 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: CPM Triple: [Chippenham railway station, railwayStationCode, CPM]
Generated description
CPM is the National Rail station code assigned to Chippenham railway station in Wiltshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CPM Target entity description: CPM is the National Rail station code assigned to Chippenham railway station in Wiltshire, England.
-
A.
CPMP
CPMP is the former scientific committee of the European Medicines Agency responsible for evaluating and providing opinions on the quality, safety, and efficacy of human medicinal products in the EU.
-
B.
CPS
CPS is the principal public agency in England and Wales responsible for prosecuting criminal cases investigated by the police.
-
C.
CPS
CPS is the commonly used abbreviation for Chicago Public Schools, the third-largest school district in the United States.
-
D.
CPS
CPS is the three-letter IATA airport code for St. Louis Downtown Airport, a regional airport serving the St. Louis metropolitan area.
-
E.
CPC
CPC is the abbreviated name for the Commonwealth Parliamentary Conference, a major annual gathering of parliamentarians from Commonwealth countries to discuss governance and legislative issues.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89797ac819090fb68bb5f2fad5c |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
Created at: April 10, 2026, 3:09 a.m.