Triple

T688738
Position Surface form Disambiguated ID Type / Status
Subject LHC Injectors Upgrade E13344 entity
Predicate alternateName P39 FINISHED
Object LIU
LIU is a major CERN project to modernize and enhance the performance of the injector accelerators that feed the Large Hadron Collider.
E84921 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: LIU | Statement: [LHC Injectors Upgrade, alternateName, LIU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIU
Context triple: [LHC Injectors Upgrade, alternateName, LIU]
  • A. Li
    Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
  • B. Luo
    Luo is a Nilotic language spoken primarily by the Luo people of East Africa, especially in Kenya, Uganda, and Tanzania.
  • C. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • D. Lu Lingzi
    Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
  • E. Li Weihan
    Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
  • 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: LIU
Triple: [LHC Injectors Upgrade, alternateName, LIU]
Generated description
LIU is a major CERN project to modernize and enhance the performance of the injector accelerators that feed the Large Hadron Collider.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LIU
Target entity description: LIU is a major CERN project to modernize and enhance the performance of the injector accelerators that feed the Large Hadron Collider.
  • A. Li
    Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
  • B. Luo
    Luo is a Nilotic language spoken primarily by the Luo people of East Africa, especially in Kenya, Uganda, and Tanzania.
  • C. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • D. Lu Lingzi
    Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
  • E. Li Weihan
    Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a09669e4819089753204772e1fdd completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca5b2688190bfe05a165c753211 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5ddeaef148190bb9877cee15959fd completed March 2, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69a5fea9df3481909331e3e382ad81ae completed March 2, 2026, 9:18 p.m.
Created at: March 1, 2026, 7:36 p.m.