Triple

T8159509
Position Surface form Disambiguated ID Type / Status
Subject Israel Beilin E190539 entity
Predicate familyName P18 FINISHED
Object Beilin E639346 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: Beilin | Statement: [Israel Beilin, familyName, Beilin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beilin
Context triple: [Israel Beilin, familyName, Beilin]
  • A. Gubeikou
    Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
  • B. Yiheyuan
    Yiheyuan, known in English as the Summer Palace, is a vast imperial garden and former royal retreat in Beijing famed for its lakes, palaces, and classical Chinese landscape design.
  • C. Beilin District chosen
    Beilin District is a central urban district of Xi'an, China, known for its rich historical sites and cultural landmarks.
  • D. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • E. Daiyuan
    Daiyuan is a given name most notably associated with Teng Daiyuan, a prominent Chinese Communist revolutionary and political leader.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3901157c81908064c4b47d1c1ea4 completed April 2, 2026, 9:38 a.m.
Created at: March 30, 2026, 5:38 p.m.