Triple

T31372124
Position Surface form Disambiguated ID Type / Status
Subject Willy-Brandt-Platz (Frankfurt am Main) E800190 entity
Predicate hasNearbyTramLine P172293 FINISHED
Object Frankfurt tram line 11
Frankfurt tram line 11 is a major tram route in Frankfurt am Main that connects key districts across the city center and surrounding neighborhoods.
 E1963531 NE FINISHED

How this triple was built (3 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: Frankfurt tram line 11 | Statement: [Willy-Brandt-Platz (Frankfurt am Main), hasNearbyTramLine, Frankfurt tram line 11]
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: Frankfurt tram line 11
Triple: [Willy-Brandt-Platz (Frankfurt am Main), hasNearbyTramLine, Frankfurt tram line 11]
Generated description
Frankfurt tram line 11 is a major tram route in Frankfurt am Main that connects key districts across the city center and surrounding neighborhoods.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyTramLine
Context triple: [Willy-Brandt-Platz (Frankfurt am Main), hasNearbyTramLine, Frankfurt tram line 11]
  • A. hasNearbyTramStop
    Indicates that a location has a tram stop situated within a short walking distance or close proximity.
  • B. nearTramwayLine chosen
    Indicates that one entity is located close to a tramway line in physical space.
  • C. hasNearbyLine
    Indicates that one entity is located close to, or in the vicinity of, a particular line or linear feature.
  • D. hasNearbyOvergroundLine
    Indicates that one entity is located close to an above-ground railway or transit line associated with the other entity.
  • E. hasTramTrainLine
    Indicates that there exists a tram-train line connection or service linking the related entities.
  • F. None of above.

Provenance (6 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_69f224e6b7448190ac6bf97ad7364160 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69feecf1bb248190ba30f0bb1d22ee08 completed May 9, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b07668b1c8190ac3d19ff1727401b completed June 11, 2026, 7:07 p.m.
NEDg Description generation batch_6a2b0a1a912c81908749b99c9701d441 completed June 11, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_6a2b0a86e768819098c8d52bbd3819cb completed June 11, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69feea5f27748190b223ee4e3ba5a678 completed May 9, 2026, 8:03 a.m.
Created at: April 29, 2026, 9:18 p.m.