Triple

T24348273
Position Surface form Disambiguated ID Type / Status
Subject Frauenfeld E613708 entity
Predicate hasTramOrLightRail P17788 FINISHED
Object Frauenfeld–Wil railway
The Frauenfeld–Wil railway is a Swiss metre-gauge regional rail line connecting the towns of Frauenfeld and Wil in northeastern Switzerland.
 E1633303 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: Frauenfeld–Wil railway | Statement: [Frauenfeld, hasTramOrLightRail, Frauenfeld–Wil railway]
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: Frauenfeld–Wil railway
Triple: [Frauenfeld, hasTramOrLightRail, Frauenfeld–Wil railway]
Generated description
The Frauenfeld–Wil railway is a Swiss metre-gauge regional rail line connecting the towns of Frauenfeld and Wil in northeastern Switzerland.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasTramOrLightRail
Context triple: [Frauenfeld, hasTramOrLightRail, Frauenfeld–Wil railway]
  • A. hasLightRailSystem
    Indicates that a place possesses and operates a light rail transit system.
  • B. hasTramway chosen
    Indicates that a location or area is served by, contains, or is connected to a tramway system.
  • C. hasTramTrainLine
    Indicates that there exists a tram-train line connection or service linking the related entities.
  • D. hasTramcarsFrom
    Indicates that a tramcar originates from, or is sourced from, a specified location or provider.
  • E. lightRailNetwork
    Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
  • 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_69e2d7ddd29481909e7f539a6072bd71 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293430524819087984a699d1d3687 completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd6633c6081909afea1c7caa9bf3d completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd7b7c4b481908bd7b871a74423f6 completed May 22, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0fdb5d39ec819091d56121c35dc85c completed May 22, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f287ad30048190b3ad3613486f277f completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 1:58 a.m.