Triple

T23030051
Position Surface form Disambiguated ID Type / Status
Subject Homansbyen E573431 entity
Predicate servedByTramLine P17788 FINISHED
Object Tram line 11
Tram line 11 is a public transport tram route in Oslo, Norway, connecting central city areas and residential neighborhoods including Homansbyen.
 E1565941 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 11 | Statement: [Homansbyen, servedByTramLine, Tram line 11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tram line 11
Context triple: [Homansbyen, servedByTramLine, Tram line 11]
  • 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 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • C. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • D. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • E. 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.
  • 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 11
Triple: [Homansbyen, servedByTramLine, Tram line 11]
Generated description
Tram line 11 is a public transport tram route in Oslo, Norway, connecting central city areas and residential neighborhoods including Homansbyen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tram line 11
Target entity description: Tram line 11 is a public transport tram route in Oslo, Norway, connecting central city areas and residential neighborhoods including Homansbyen.
  • 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 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • C. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • D. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • E. 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.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f184803e908190b1e58545b9c3d587 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2b3ac308190bc241acfd02903d8 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bf70818608190b6d7c5ee633bb4ce completed May 19, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0bf76284988190ac4b8f08859aecc6 completed May 19, 2026, 5:38 a.m.
Created at: April 17, 2026, 3:53 p.m.