Triple

T2452254
Position Surface form Disambiguated ID Type / Status
Subject German occupation of Norway E53732 entity
Predicate resistanceGroup P26249 FINISHED
Object XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
 E269013 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: XU | Statement: [German occupation of Norway, resistanceGroup, XU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XU
Context triple: [German occupation of Norway, resistanceGroup, XU]
  • A. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • C. XUA
    XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
  • D. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • E. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • 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: XU
Triple: [German occupation of Norway, resistanceGroup, XU]
Generated description
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XU
Target entity description: XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • A. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • C. XUA
    XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
  • D. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • E. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd82f2020819086bbd321a750ce43 completed March 7, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c544788190bb0e8c5ae4a32ff0 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef53740508190893b14bb1b411a30 completed March 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69aef9594024819088e7afc0e64429ff completed March 9, 2026, 4:46 p.m.
Created at: March 6, 2026, 9:43 p.m.