Triple

T20958890
Position Surface form Disambiguated ID Type / Status
Subject Genolier E516183 entity
Predicate countryCode P208 FINISHED
Object CH NE NERFINISHED

How this triple was built (2 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: [Genolier, countryCode, CH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CH
Context triple: [Genolier, countryCode, 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.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6d6cd48190b83d1ceb1d0f6670 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:29 p.m.