Triple

T7577644
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 11 E179398 entity
Predicate terminus P388 FINISHED
Object Sanlin
Sanlin is a station and terminus on Shanghai Metro’s Line 11, serving the Sanlin area in the city’s Pudong district.
E674997 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: Sanlin | Statement: [Shanghai Metro Line 11, terminus, Sanlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanlin
Context triple: [Shanghai Metro Line 11, terminus, Sanlin]
  • A. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • B. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • C. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • D. Rurui
    Rurui is a stratovolcano located on Kunashir Island in the Kuril Islands chain of Russia.
  • E. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • 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: Sanlin
Triple: [Shanghai Metro Line 11, terminus, Sanlin]
Generated description
Sanlin is a station and terminus on Shanghai Metro’s Line 11, serving the Sanlin area in the city’s Pudong district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanlin
Target entity description: Sanlin is a station and terminus on Shanghai Metro’s Line 11, serving the Sanlin area in the city’s Pudong district.
  • A. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • B. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • C. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • D. Rurui
    Rurui is a stratovolcano located on Kunashir Island in the Kuril Islands chain of Russia.
  • E. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f94cdbec81909f2ba7ce04e49931 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8616d87f881909fe23220dc77167c completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c8625282bc8190bd1eecc13c1d4744 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c8630fe8608190afc7b67d9a80240b completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:51 p.m.