Triple

T264762
Position Surface form Disambiguated ID Type / Status
Subject LinkedIn E5698 entity
Predicate competitor P1375 FINISHED
Object Xing
Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
 E34627 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: Xing | Statement: [LinkedIn, competitor, Xing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xing
Context triple: [LinkedIn, competitor, Xing]
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • C. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • D. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • E. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • 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: Xing
Triple: [LinkedIn, competitor, Xing]
Generated description
Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xing
Target entity description: Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • C. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • D. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • E. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25d8f9bbc8190a13841e4de093a66 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ae45648190966804664bf4f861 completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a9adf4481909300cfa1fb3129cc completed March 1, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_69a38aef72808190953043b9c480fada completed March 1, 2026, 12:40 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.