Triple

T5824290
Position Surface form Disambiguated ID Type / Status
Subject Castleton railway station E129183 entity
Predicate stationCode 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, stationCode, CAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAS
Context triple: [Castleton railway station, stationCode, 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 & 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.
  • 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. CASAM
    CASAM is the abbreviated name for the Council of Arab Ministers of Social Affairs, a regional body coordinating social policy and welfare initiatives among Arab states.
  • E. CCAS
    CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
  • 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, stationCode, 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
    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 & 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.
  • 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. CASAM
    CASAM is the abbreviated name for the Council of Arab Ministers of Social Affairs, a regional body coordinating social policy and welfare initiatives among Arab states.
  • E. CCAS
    CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03418d410819092b6f5f6db45ed39 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985ab01c8190ac03cb95427c688d completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0993ebad08190a5470e0e345b6211 completed March 23, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c09a13a19c8190a04807755d16fb95 completed March 23, 2026, 1:40 a.m.
Created at: March 22, 2026, 3:53 p.m.