Triple

T16276193
Position Surface form Disambiguated ID Type / Status
Subject Edmonton Green railway station E395134 entity
Predicate stationCode P1289 FINISHED
Object EDR
EDR is the National Rail station code for Edmonton Green railway station in London, England.
E1204716 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: EDR | Statement: [Edmonton Green railway station, stationCode, EDR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDR
Context triple: [Edmonton Green railway station, stationCode, EDR]
  • A. EDR
    EDR is a Florida state research office that provides economic, demographic, and fiscal analysis to support public policy and budgeting decisions.
  • B. EGDR
    EGDR is the ICAO airport code for RNAS Culdrose, a major Royal Navy air station in Cornwall, England.
  • C. EDL
    EDL is the National Rail station code for Edale railway station in Derbyshire, England, which serves the village of Edale in the Peak District.
  • D. EDL
    EDL is the IATA airport code for Eldoret International Airport, a key air transport hub in western Kenya.
  • E. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • 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: EDR
Triple: [Edmonton Green railway station, stationCode, EDR]
Generated description
EDR is the National Rail station code for Edmonton Green railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EDR
Target entity description: EDR is the National Rail station code for Edmonton Green railway station in London, England.
  • A. EDR
    EDR is a Florida state research office that provides economic, demographic, and fiscal analysis to support public policy and budgeting decisions.
  • B. EGDR
    EGDR is the ICAO airport code for RNAS Culdrose, a major Royal Navy air station in Cornwall, England.
  • C. EDL
    EDL is the National Rail station code for Edale railway station in Derbyshire, England, which serves the village of Edale in the Peak District.
  • D. EDL
    EDL is the IATA airport code for Eldoret International Airport, a key air transport hub in western Kenya.
  • E. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460d30608190a721aa845fcf7cf6 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c2b9688190b96d62d83a03f158 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00191957b8819083cf576e481c3429 completed May 10, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0019a24abc819083441f178323c646 completed May 10, 2026, 5:37 a.m.
Created at: April 10, 2026, 5:05 a.m.