Triple

T20745273
Position Surface form Disambiguated ID Type / Status
Subject M30 motorway (Hungary) E510563 entity
Predicate roadNumber P1864 FINISHED
Object M30
M30 is a Hungarian motorway that connects the city of Miskolc and northeastern Hungary to the Slovak border, forming part of a key international transport corridor.
 E1449124 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: M30 | Statement: [M30 motorway (Hungary), roadNumber, M30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M30
Context triple: [M30 motorway (Hungary), roadNumber, M30]
  • A. M30
    M30 is a globular star cluster in the constellation Capricornus, notable for its dense core and great age.
  • B. M35
    M35 is a bright open star cluster located in the constellation Gemini, visible with binoculars or small telescopes.
  • C. M32
    M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
  • D. M-33
    M-33 is a regional road in Montenegro that forms part of the country’s main inland transport network.
  • E. M-33
    M-33 is a state trunkline highway in Michigan that runs through the northern part of the Lower Peninsula, serving rural communities and connecting to several major routes.
  • 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: M30
Triple: [M30 motorway (Hungary), roadNumber, M30]
Generated description
M30 is a Hungarian motorway that connects the city of Miskolc and northeastern Hungary to the Slovak border, forming part of a key international transport corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M30
Target entity description: M30 is a Hungarian motorway that connects the city of Miskolc and northeastern Hungary to the Slovak border, forming part of a key international transport corridor.
  • A. M30
    M30 is a globular star cluster in the constellation Capricornus, notable for its dense core and great age.
  • B. M35
    M35 is a bright open star cluster located in the constellation Gemini, visible with binoculars or small telescopes.
  • C. M32
    M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
  • D. M-33
    M-33 is a regional road in Montenegro that forms part of the country’s main inland transport network.
  • E. M-33
    M-33 is a state trunkline highway in Michigan that runs through the northern part of the Lower Peninsula, serving rural communities and connecting to several major routes.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8407180819092dde86d0377c6cc completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e93ff7dc8190b4668b965e90ab10 completed May 16, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08ea02a1688190bc7944f67067bcfa completed May 16, 2026, 10:04 p.m.
Created at: April 16, 2026, 12:33 p.m.