Triple

T16138512
Position Surface form Disambiguated ID Type / Status
Subject Chiswick railway station E391591 entity
Predicate stationCode P1289 FINISHED
Object CHK
CHK is the National Rail station code for Chiswick railway station in London, England.
 E706930 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: CHK | Statement: [Chiswick railway station, stationCode, CHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CHK
Context triple: [Chiswick railway station, stationCode, CHK]
  • A. CHK
    CHK is the vehicle registration code assigned to the Chakwal district in Pakistan.
  • B. CH
    CH is the post-nominal abbreviation for Companion of Honour, a prestigious British award recognizing outstanding achievements in fields such as the arts, literature, music, science, politics, industry, or religion.
  • C. CH
    CH is the ISO 3166-1 alpha-2 country code for Switzerland.
  • D. CH
    CH is the postcode area covering Chester and its surrounding region in northwest England.
  • E. CH
    CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
  • 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: CHK
Triple: [Chiswick railway station, stationCode, CHK]
Generated description
CHK is the National Rail station code for Chiswick railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CHK
Target entity description: CHK is the National Rail station code for Chiswick railway station in London, England.
  • A. CHK chosen
    CHK is the vehicle registration code assigned to the Chakwal district in Pakistan.
  • B. CH
    CH is the post-nominal abbreviation for Companion of Honour, a prestigious British award recognizing outstanding achievements in fields such as the arts, literature, music, science, politics, industry, or religion.
  • C. CH
    CH is the ISO 3166-1 alpha-2 country code for Switzerland.
  • D. CH
    CH is the postcode area covering Chester and its surrounding region in northwest England.
  • E. CH
    CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
  • F. None of above.

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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.