Triple

T7369135
Position Surface form Disambiguated ID Type / Status
Subject Shippea Hill railway station E169948 entity
Predicate hasStationCode P1289 FINISHED
Object SPP
SPP is the National Rail station code for Shippea Hill railway station in Cambridgeshire, England.
 E659806 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: SPP | Statement: [Shippea Hill railway station, hasStationCode, SPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPP
Context triple: [Shippea Hill railway station, hasStationCode, SPP]
  • A. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • B. SPP
    SPP was the Mexican federal government’s Secretariat responsible for national economic planning, public spending, and budgetary policy.
  • C. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • D. SPS
    SPS is the abbreviation of the Socialist Party of Serbia, a major left-wing political party in Serbia.
  • E. SPS
    SPS refers to the Single Payment Scheme, an agricultural subsidy system used in the European Union to provide income support to farmers through decoupled direct payments.
  • 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: SPP
Triple: [Shippea Hill railway station, hasStationCode, SPP]
Generated description
SPP is the National Rail station code for Shippea Hill railway station in Cambridgeshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPP
Target entity description: SPP is the National Rail station code for Shippea Hill railway station in Cambridgeshire, England.
  • A. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • B. SPP
    SPP was the Mexican federal government’s Secretariat responsible for national economic planning, public spending, and budgetary policy.
  • C. SPS
    SPS refers to the Single Payment Scheme, an agricultural subsidy system used in the European Union to provide income support to farmers through decoupled direct payments.
  • D. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • E. SPS
    SPS is the abbreviation of the Socialist Party of Serbia, a major left-wing political party in Serbia.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1810668819094aec4b237d08068 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802bfaa10819083ab3137dbdeefb6 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c80362bcb88190ad8c42f520d7dd56 completed March 28, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_69c803da5e2c819098814b16d14cf837 completed March 28, 2026, 4:37 p.m.
Created at: March 27, 2026, 3:07 p.m.