Triple

T10989561
Position Surface form Disambiguated ID Type / Status
Subject Bitsevsky Park E259720 entity
Predicate metroLineNumber P1864 FINISHED
Object Line 12
Line 12 is a line of the Moscow Metro system that serves stations including Bitsevsky Park.
 E898416 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: Line 12 | Statement: [Bitsevsky Park, metroLineNumber, Line 12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 12
Context triple: [Bitsevsky Park, metroLineNumber, Line 12]
  • A. Line 12
    Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
  • B. Line 12
    Line 12 is a major Paris Métro line running roughly north–south across the city, connecting several key districts and landmarks.
  • C. Line 12
    Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
  • D. Line 12
    Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
  • E. Line 12
    Line 12 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • 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: Line 12
Triple: [Bitsevsky Park, metroLineNumber, Line 12]
Generated description
Line 12 is a line of the Moscow Metro system that serves stations including Bitsevsky Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 12
Target entity description: Line 12 is a line of the Moscow Metro system that serves stations including Bitsevsky Park.
  • A. Line 12
    Line 12 is a major Paris Métro line running roughly north–south across the city, connecting several key districts and landmarks.
  • B. Line 12
    Line 12 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • C. Line 12
    Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
  • D. Line 12
    Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
  • E. Line 12
    Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b6d0b48190aaf959e2609d34e5 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3593b0f8481909ed7a90f8bb9839d completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.