Triple

T16072039
Position Surface form Disambiguated ID Type / Status
Subject Splügen Pass E389886 entity
Predicate countryCodeNorthSide P121780 FINISHED
Object CH E806475 NE FINISHED

How this triple was built (3 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: [Splügen Pass, countryCodeNorthSide, CH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CH
Context triple: [Splügen Pass, countryCodeNorthSide, CH]
  • A. 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.
  • B. CH chosen
    CH is the ISO 3166-1 alpha-2 country code for Switzerland.
  • C. CH
    CH is the postcode area covering Chester and its surrounding region in northwest England.
  • D. CH
    CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryCodeNorthSide
Context triple: [Splügen Pass, countryCodeNorthSide, CH]
  • A. countryCodePart
    Indicates that one entity is a segment or component of a standardized country code associated with another entity.
  • B. continentCode
    Indicates the standardized code assigned to the continent with which an entity is associated.
  • C. UICCountryCode
    Indicates that an entity is associated with a specific country identified by its UIC (International Union of Railways) country code.
  • D. regionCountrySide
    Indicates that a region is located in or associated with the countryside or rural area of a country.
  • E. countryCodeMeaning
    Indicates the semantic meaning or description associated with a given country code.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e1ff5cd7e481908a29214139a3de2e completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 4:57 a.m.