Triple

T4312770
Position Surface form Disambiguated ID Type / Status
Subject Alton railway station E94111 entity
Predicate stationCode P1289 FINISHED
Object AON
AON is the National Rail station code for Alton railway station in Hampshire, England.
 E430077 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: AON | Statement: [Alton railway station, stationCode, AON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AON
Context triple: [Alton railway station, stationCode, AON]
  • A. AON
    AON is a global professional services firm specializing in risk management, insurance and reinsurance brokerage, and human capital consulting.
  • B. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • C. AO
    AO is the common abbreviation for Agent Orange, a highly toxic herbicide and defoliant used by the U.S. military during the Vietnam War that caused widespread environmental damage and severe health effects.
  • D. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • E. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • 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: AON
Triple: [Alton railway station, stationCode, AON]
Generated description
AON is the National Rail station code for Alton railway station in Hampshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AON
Target entity description: AON is the National Rail station code for Alton railway station in Hampshire, England.
  • A. AON
    AON is a global professional services firm specializing in risk management, insurance and reinsurance brokerage, and human capital consulting.
  • B. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • C. AO
    AO is the common abbreviation for Agent Orange, a highly toxic herbicide and defoliant used by the U.S. military during the Vietnam War that caused widespread environmental damage and severe health effects.
  • D. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • E. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d8bff88190bcf7dd419d5f4312 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75cd5c481908f76c510fec678f9 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c8dc06c48190acc7e6ef33cfa80c completed March 14, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b5c993a9388190a52e573b013dbe29 completed March 14, 2026, 8:48 p.m.
Created at: March 12, 2026, 11:11 p.m.