Triple

T289157
Position Surface form Disambiguated ID Type / Status
Subject Shrewsbury railway station E5951 entity
Predicate stationCode P1289 FINISHED
Object SHR
SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
 E37120 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: SHR | Statement: [Shrewsbury railway station, stationCode, SHR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SHR
Context triple: [Shrewsbury railway station, stationCode, SHR]
  • A. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • B. HRS
    HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
  • C. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • D. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • E. SHASS
    SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
  • 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: SHR
Triple: [Shrewsbury railway station, stationCode, SHR]
Generated description
SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SHR
Target entity description: SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • A. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • B. HRS
    HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
  • C. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • D. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • E. SHASS
    SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e4df5508190ab75115ac6b3964e completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d0a5cd4819094bd1fde13d31874 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39d5559bc8190bf6624e5305394e7 completed March 1, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69a39ddc79c08190a8978efe7b6d08f6 completed March 1, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.