Triple

T17262548
Position Surface form Disambiguated ID Type / Status
Subject Kunming Metro E419041 entity
Predicate hasLinePlanned P86666 FINISHED
Object Kunming Metro Line 23
Kunming Metro Line 23 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
E1290700 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: Kunming Metro Line 23 | Statement: [Kunming Metro, hasLinePlanned, Kunming Metro Line 23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunming Metro Line 23
Context triple: [Kunming Metro, hasLinePlanned, Kunming Metro Line 23]
  • A. Kunming Metro Line 22
    Kunming Metro Line 22 is a planned rapid transit line intended to expand and improve urban rail connectivity within Kunming, China.
  • B. Kunming Metro Line 21
    Kunming Metro Line 21 is a planned rapid transit line intended to expand the urban rail network in Kunming, China.
  • C. Kunming Metro Line 20
    Kunming Metro Line 20 is a planned rapid transit line intended to expand the urban rail network in Kunming, China.
  • D. Kunming Metro Line 19
    Kunming Metro Line 19 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
  • E. Kunming Metro Line 2
    Kunming Metro Line 2 is a rapid transit line forming part of the urban rail network in Kunming, China, connecting key districts and facilitating north–south travel across the city.
  • 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: Kunming Metro Line 23
Triple: [Kunming Metro, hasLinePlanned, Kunming Metro Line 23]
Generated description
Kunming Metro Line 23 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kunming Metro Line 23
Target entity description: Kunming Metro Line 23 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
  • A. Kunming Metro Line 22
    Kunming Metro Line 22 is a planned rapid transit line intended to expand and improve urban rail connectivity within Kunming, China.
  • B. Kunming Metro Line 21
    Kunming Metro Line 21 is a planned rapid transit line intended to expand the urban rail network in Kunming, China.
  • C. Kunming Metro Line 20
    Kunming Metro Line 20 is a planned rapid transit line intended to expand the urban rail network in Kunming, China.
  • D. Kunming Metro Line 19
    Kunming Metro Line 19 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
  • E. Kunming Metro Line 2
    Kunming Metro Line 2 is a rapid transit line forming part of the urban rail network in Kunming, China, connecting key districts and facilitating north–south travel across the city.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306df0fdc81908fd365dd599ef36f completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a03077c2f388190bcb034be8b395d72 completed May 12, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a03084521d88190ab60f3cbdfdb0869 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 5:40 a.m.