Triple

T3015379
Position Surface form Disambiguated ID Type / Status
Subject Fengtai District E82323 entity
Predicate contains P35 FINISHED
Object Majiabao
Majiabao is a neighborhood-level area located within Beijing’s Fengtai District, known primarily as a residential and commercial urban locality.
 E317838 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: Majiabao | Statement: [Fengtai District, contains, Majiabao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Majiabao
Context triple: [Fengtai District, contains, Majiabao]
  • A. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • B. Zhujiajiao
    Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
  • C. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • D. Enbo
    Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
  • E. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • 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: Majiabao
Triple: [Fengtai District, contains, Majiabao]
Generated description
Majiabao is a neighborhood-level area located within Beijing’s Fengtai District, known primarily as a residential and commercial urban locality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Majiabao
Target entity description: Majiabao is a neighborhood-level area located within Beijing’s Fengtai District, known primarily as a residential and commercial urban locality.
  • A. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • B. Zhujiajiao
    Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
  • C. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • D. Enbo
    Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
  • E. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6b37288190a6965d183ca4b08b completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6b78448190beb41460314278ec completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12faf75ac81909031430d58919c95 completed March 11, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_69b1c7d3f2c88190aa26d8d12777b2a2 completed March 11, 2026, 7:51 p.m.
Created at: March 8, 2026, 3 p.m.