Triple

T10896891
Position Surface form Disambiguated ID Type / Status
Subject Ardwick railway station E257332 entity
Predicate stationCode P1289 FINISHED
Object ADK
ADK is the National Rail station code for Ardwick railway station in Manchester, England.
 E892914 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: ADK | Statement: [Ardwick railway station, stationCode, ADK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADK
Context triple: [Ardwick railway station, stationCode, ADK]
  • A. DAK
    DAK is the abbreviation for the German Afrika Korps, the German expeditionary force that fought in North Africa during World War II under commanders such as Erwin Rommel.
  • B. AK
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • C. AK
    AK is the depot code used to identify Ardwick railway depot within the UK rail network.
  • D. KADS
    KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
  • E. ATK
    ATK was a Kolkata-based professional football club that became one of the most successful teams in the Indian Super League before merging with Mohun Bagan.
  • 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: ADK
Triple: [Ardwick railway station, stationCode, ADK]
Generated description
ADK is the National Rail station code for Ardwick railway station in Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADK
Target entity description: ADK is the National Rail station code for Ardwick railway station in Manchester, England.
  • A. DAK
    DAK is the abbreviation for the German Afrika Korps, the German expeditionary force that fought in North Africa during World War II under commanders such as Erwin Rommel.
  • B. AK
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • C. AK
    AK is the depot code used to identify Ardwick railway depot within the UK rail network.
  • D. KADS
    KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
  • E. ATK
    ATK is the stock ticker symbol for WS Atkins, a British multinational engineering and design consultancy firm.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d02e4c88190b8286078e90bf913 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15519e620819090e492861de6a567 completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e17d3331788190a9ee03fc4c6ca191 completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1ff5b3d488190a545bee24381d01e completed April 17, 2026, 9:37 a.m.
Created at: April 8, 2026, 9:21 p.m.