Triple

T2487977
Position Surface form Disambiguated ID Type / Status
Subject Metrobus Line 5 E55972 entity
Predicate connectsWith P37 FINISHED
Object Trolleybus Line 2
Trolleybus Line 2 is an electric trolleybus route that forms part of an urban public transit network and interchanges with Metrobus Line 5.
 E271361 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: Trolleybus Line 2 | Statement: [Metrobus Line 5, connectsWith, Trolleybus Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trolleybus Line 2
Context triple: [Metrobus Line 5, connectsWith, Trolleybus Line 2]
  • A. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • B. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • C. Metrobus Line 5
    Metrobus Line 5 is a bus rapid transit route in Mexico City that serves the borough of Venustiano Carranza and connects it with other key areas of the city.
  • D. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • E. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • 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: Trolleybus Line 2
Triple: [Metrobus Line 5, connectsWith, Trolleybus Line 2]
Generated description
Trolleybus Line 2 is an electric trolleybus route that forms part of an urban public transit network and interchanges with Metrobus Line 5.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trolleybus Line 2
Target entity description: Trolleybus Line 2 is an electric trolleybus route that forms part of an urban public transit network and interchanges with Metrobus Line 5.
  • A. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • B. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • C. Metrobus Line 5
    Metrobus Line 5 is a bus rapid transit route in Mexico City that serves the borough of Venustiano Carranza and connects it with other key areas of the city.
  • D. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • E. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd179c44881909cd6c7626cadaf10 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17bca6f88190a63672fb3372f0be completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1b7224488190bf896b2c77c3ba0a completed March 9, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69af1c7b0f088190870b2ed18756b0d5 completed March 9, 2026, 7:16 p.m.
Created at: March 6, 2026, 9:45 p.m.