Triple

T10351729
Position Surface form Disambiguated ID Type / Status
Subject Nyugati tér E243896 entity
Predicate hasTramLine P17788 FINISHED
Object Tram line 6
Tram line 6 is one of Budapest’s busiest and most frequent tram routes, running along the Grand Boulevard and serving major hubs such as Nyugati tér.
 E859262 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: Tram line 6 | Statement: [Nyugati tér, hasTramLine, Tram line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tram line 6
Context triple: [Nyugati tér, hasTramLine, Tram line 6]
  • A. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • B. Tram line 4
    Tram line 4 is one of Budapest’s busiest urban tram routes, running across the city center and connecting major hubs including Nyugati tér.
  • C. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • D. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • E. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • 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: Tram line 6
Triple: [Nyugati tér, hasTramLine, Tram line 6]
Generated description
Tram line 6 is one of Budapest’s busiest and most frequent tram routes, running along the Grand Boulevard and serving major hubs such as Nyugati tér.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tram line 6
Target entity description: Tram line 6 is one of Budapest’s busiest and most frequent tram routes, running along the Grand Boulevard and serving major hubs such as Nyugati tér.
  • A. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • B. Tram line 4
    Tram line 4 is one of Budapest’s busiest urban tram routes, running across the city center and connecting major hubs including Nyugati tér.
  • C. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • D. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • E. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7951e65948190a25e559ba94be3c7 completed April 9, 2026, 12:01 p.m.
NEDg Description generation batch_69d7975191ac8190b32eb6cc1f5c88aa completed April 9, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d798655c7c8190a5da5ef976102285 completed April 9, 2026, 12:15 p.m.
Created at: April 6, 2026, 11:57 a.m.