Triple

T9558111
Position Surface form Disambiguated ID Type / Status
Subject Sense District E230593 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object CH
CH is the ISO 3166-1 alpha-2 country code for Switzerland.
 E806475 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: CH | Statement: [Sense District, ISO3166-1Alpha2, CH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CH
Context triple: [Sense District, ISO3166-1Alpha2, CH]
  • A. CH
    CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
  • 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 postcode area covering Chester and its surrounding region in northwest England.
  • D. CH
    CH is the common abbreviation for Christ’s Hospital, a historic English independent boarding school founded in the 16th century and known for its distinctive bluecoat uniform and charitable educational mission.
  • E. CHE
    CHE is the three-letter ISO 3166-1 alpha-3 country code for Switzerland.
  • 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: CH
Triple: [Sense District, ISO3166-1Alpha2, CH]
Generated description
CH is the ISO 3166-1 alpha-2 country code for Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CH
Target entity description: CH is the ISO 3166-1 alpha-2 country code for Switzerland.
  • A. CH
    CH is the postcode area covering Chester and its surrounding region in northwest England.
  • B. CH
    CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
  • C. 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.
  • D. CH
    CH is the common abbreviation for Christ’s Hospital, a historic English independent boarding school founded in the 16th century and known for its distinctive bluecoat uniform and charitable educational mission.
  • E. CHE
    CHE is the three-letter ISO 3166-1 alpha-3 country code for Switzerland.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.