Triple

T11866361
Position Surface form Disambiguated ID Type / Status
Subject Christian Historical Union E282294 entity
Predicate abbreviation P43 FINISHED
Object CHU E378668 NE FINISHED

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: CHU | Statement: [Christian Historical Union, abbreviation, CHU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHU
Context triple: [Christian Historical Union, abbreviation, CHU]
  • A. CHU chosen
    CHU (Christelijk-Historische Unie) was a Dutch Protestant conservative political party that existed from the late 19th century until it merged into the Christian Democratic Appeal (CDA) in 1980.
  • B. CHUI
    CHUI is the airline callsign used by Jambojet, a Kenyan low-cost carrier and subsidiary of Kenya Airways.
  • C. CH-LU
    CH-LU is the ISO 3166-2 code designating the Swiss canton of Lucerne.
  • D. Chu
    Chu was a powerful ancient Chinese state during the Spring and Autumn and Warring States periods, known for its distinctive culture, military strength, and significant role in early Chinese history.
  • E. Chu
    Chu is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73a233081909449ab294d01a512 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2819229ec81908a3bc5579d661c20 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.