Triple

T3227412
Position Surface form Disambiguated ID Type / Status
Subject Line 8 (Beijing Subway) E67656 entity
Predicate hasStation P35 FINISHED
Object Pingxifu station
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
 E449168 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: Pingxifu station | Statement: [Line 8 (Beijing Subway), hasStation, Pingxifu station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pingxifu station
Context triple: [Line 8 (Beijing Subway), hasStation, Pingxifu station]
  • A. Jishuitan station
    Jishuitan station is a subway station in Beijing that serves the busy Line 2 loop near the city’s northern central area.
  • B. Xicun Station
    Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
  • C. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • D. Caishikou station
    Caishikou station is a Beijing Subway interchange station serving central Beijing, known for connecting Line 4 with other key routes near the historic Caishikou area.
  • E. Beixinjing Station
    Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
  • 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: Pingxifu station
Triple: [Line 8 (Beijing Subway), hasStation, Pingxifu station]
Generated description
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pingxifu station
Target entity description: Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
  • A. Jishuitan station
    Jishuitan station is a subway station in Beijing that serves the busy Line 2 loop near the city’s northern central area.
  • B. Xicun Station
    Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
  • C. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • D. Caishikou station
    Caishikou station is a Beijing Subway interchange station serving central Beijing, known for connecting Line 4 with other key routes near the historic Caishikou area.
  • E. Beixinjing Station
    Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb5e67c819082070d108d3613ba completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda3f5a8a88190a494a9338c01962a completed March 20, 2026, 7:45 p.m.
NEDg Description generation batch_69bda554141c8190968f265727acf127 completed March 20, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_69bda5bea35881908911e30c857c9844 completed March 20, 2026, 7:53 p.m.
Created at: March 8, 2026, 3:08 p.m.