Triple

T9344115
Position Surface form Disambiguated ID Type / Status
Subject Lancaster Station E224838 entity
Predicate hasStationCode P1289 FINISHED
Object LNC
LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
 E792960 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: LNC | Statement: [Lancaster Station, hasStationCode, LNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNC
Context triple: [Lancaster Station, hasStationCode, LNC]
  • A. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • B. LNC
    LNC is a multi-purpose arena in Norman, Oklahoma, best known as the longtime home of the University of Oklahoma Sooners basketball teams and major events.
  • C. LNC
    LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • D. LCNC
    LCNC is the ICAO airport code assigned to Nicosia International Airport in Cyprus.
  • E. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • 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: LNC
Triple: [Lancaster Station, hasStationCode, LNC]
Generated description
LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNC
Target entity description: LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
  • A. LNC
    LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • B. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • C. LNC
    LNC is a multi-purpose arena in Norman, Oklahoma, best known as the longtime home of the University of Oklahoma Sooners basketball teams and major events.
  • D. LCNC
    LCNC is the ICAO airport code assigned to Nicosia International Airport in Cyprus.
  • E. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e410bc348190b0cae142bf850bce completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e5c27ef08190af2edd539358750a completed April 4, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69d0e638ba5481909b879418ae293739 completed April 4, 2026, 10:21 a.m.
Created at: March 30, 2026, 7:40 p.m.