Triple

T15954815
Position Surface form Disambiguated ID Type / Status
Subject Beijing North railway station E386907 entity
Predicate railwayStationCode P1289 FINISHED
Object VAP
VAP is the railway station code used to identify Beijing North railway station in China’s rail network.
 E1185848 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: VAP | Statement: [Beijing North railway station, railwayStationCode, VAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VAP
Context triple: [Beijing North railway station, railwayStationCode, VAP]
  • A. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • B. VABP
    VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
  • C. FVAP
    FVAP is a U.S. Department of Defense program that helps military members, their families, and overseas citizens register and vote in federal elections.
  • D. VAPO
    VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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: VAP
Triple: [Beijing North railway station, railwayStationCode, VAP]
Generated description
VAP is the railway station code used to identify Beijing North railway station in China’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VAP
Target entity description: VAP is the railway station code used to identify Beijing North railway station in China’s rail network.
  • A. VAPR
    VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
  • B. VABP
    VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
  • C. FVAP
    FVAP is a U.S. Department of Defense program that helps military members, their families, and overseas citizens register and vote in federal elections.
  • D. VAPO
    VAPO is the ICAO airport code for Pune International Airport, a major civil and military air hub serving the city of Pune in Maharashtra, India.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f94b108190905d295c3405860e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.