Triple

T11142662
Position Surface form Disambiguated ID Type / Status
Subject M0 motorway E263592 entity
Predicate hasRoadNumber P1864 FINISHED
Object M0
M0 is a major orbital motorway encircling Budapest, Hungary, serving as a key ring road that connects several radial highways around the city.
E907614 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: M0 | Statement: [M0 motorway, hasRoadNumber, M0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M0
Context triple: [M0 motorway, hasRoadNumber, M0]
  • A. M1
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • B. M1
    M1 is the region of the brain’s frontal lobe responsible for executing voluntary movements by sending motor commands to the muscles.
  • C. M1
    M1 is a central Manchester, England postcode district that covers much of the city centre’s commercial and cultural core.
  • D. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • E. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • 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: M0
Triple: [M0 motorway, hasRoadNumber, M0]
Generated description
M0 is a major orbital motorway encircling Budapest, Hungary, serving as a key ring road that connects several radial highways around the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M0
Target entity description: M0 is a major orbital motorway encircling Budapest, Hungary, serving as a key ring road that connects several radial highways around the city.
  • A. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • B. M1
    M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
  • C. M1
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • D. M1
    M1 is the region of the brain’s frontal lobe responsible for executing voluntary movements by sending motor commands to the muscles.
  • E. M1
    M1 is a central Manchester, England postcode district that covers much of the city centre’s commercial and cultural core.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e44215513481908909ce4289aabca6 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09dd5c8190bddf3dd109a639ba completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.