Triple

T3216841
Position Surface form Disambiguated ID Type / Status
Subject Line 7 (Beijing Subway) E67417 entity
Predicate hasStation P35 FINISHED
Object Cishousi
Cishousi is a subway station in Beijing named after the nearby historic Cishou Temple, serving passengers on the city's Line 7.
 E338346 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: Cishousi | Statement: [Line 7 (Beijing Subway), hasStation, Cishousi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cishousi
Context triple: [Line 7 (Beijing Subway), hasStation, Cishousi]
  • A. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • B. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • C. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • 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: Cishousi
Triple: [Line 7 (Beijing Subway), hasStation, Cishousi]
Generated description
Cishousi is a subway station in Beijing named after the nearby historic Cishou Temple, serving passengers on the city's Line 7.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cishousi
Target entity description: Cishousi is a subway station in Beijing named after the nearby historic Cishou Temple, serving passengers on the city's Line 7.
  • A. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • B. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • C. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26241803c8190aa3254d5887c80f4 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2664ddd488190a3edf40fc2dcee18 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266ca4a90819083ecb16095a2984b completed March 12, 2026, 7:10 a.m.
Created at: March 8, 2026, 3:08 p.m.