Triple
T22192151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castleton railway station |
E548453
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CAS
CAS is the National Rail station code for Castleton railway station in Greater Manchester, England.
|
E548453
|
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: CAS | Statement: [Castleton railway station, hasStationCode, CAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAS Context triple: [Castleton railway station, hasStationCode, CAS]
-
A.
CAS
CAS is the commonly used abbreviation for the Chief of the Air Staff, the professional head of an air force in several countries.
-
B.
CAS
CAS is the College of Arts and Sciences at the University of South Carolina, encompassing a wide range of humanities, social sciences, and natural sciences programs.
-
C.
CAS
CAS is a core component of the International Baccalaureate Diploma Programme that engages students in creative pursuits, physical activities, and community service to foster personal and interpersonal development.
-
D.
CAS
CAS is the Czech Academy of Sciences, the leading public research institution in the Czech Republic that conducts fundamental and applied scientific research across a wide range of disciplines.
-
E.
CAS
CAS is the College of Arts & Sciences at Boston University, the university’s largest academic division offering a wide range of undergraduate and graduate programs in the liberal arts and sciences.
- 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: CAS Triple: [Castleton railway station, hasStationCode, CAS]
Generated description
CAS is the National Rail station code for Castleton railway station in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAS Target entity description: CAS is the National Rail station code for Castleton railway station in Greater Manchester, England.
-
A.
CAS
chosen
CAS is the National Rail station code for Castleton railway station in Greater Manchester, England.
-
B.
CAS
CAS is the College of Arts and Sciences at the University of South Carolina, encompassing a wide range of humanities, social sciences, and natural sciences programs.
-
C.
CAS
CAS is the abbreviation for the International Labour Organization’s Committee on the Application of Standards, a key supervisory body that reviews how countries implement ILO conventions.
-
D.
CAS
CAS is the abbreviated name commonly used for Harvard University's Center for African Studies, an interdisciplinary hub for research, teaching, and engagement related to Africa.
-
E.
CAS
CAS is the commonly used abbreviation for the Chief of the Air Staff, the professional head of an air force in several countries.
- F. None of above.
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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae49ec881908fa42446b19e3f2d |
completed | April 28, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa60e47c881909096698dd7d82e7f |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6c001d48190b49866f02514aa28 |
completed | May 18, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa74204a081909fa0d80858bfa6bb |
completed | May 18, 2026, 5:44 a.m. |
Created at: April 16, 2026, 8:35 p.m.