Triple

T19146988
Position Surface form Disambiguated ID Type / Status
Subject Stubenring E468704 entity
Predicate hasPublicTransport P1288 FINISHED
Object Tram line 2
Tram line 2 is a public tram route in Vienna, Austria, that serves central districts including the Ringstraße area.
 E1361183 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 2 | Statement: [Stubenring, hasPublicTransport, Tram line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tram line 2
Context triple: [Stubenring, hasPublicTransport, Tram 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 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • C. 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.
  • D. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • 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: Tram line 2
Triple: [Stubenring, hasPublicTransport, Tram line 2]
Generated description
Tram line 2 is a public tram route in Vienna, Austria, that serves central districts including the Ringstraße area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tram line 2
Target entity description: Tram line 2 is a public tram route in Vienna, Austria, that serves central districts including the Ringstraße area.
  • 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 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • C. 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.
  • D. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97a79a48190b243553023bf9081 completed April 20, 2026, 8:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f25067b0819097fbe77b322eee36 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f3b97f288190a929764836302c7d completed May 15, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a06f432aa948190b26e4039b48e315f completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.