Triple

T33600566
Position Surface form Disambiguated ID Type / Status
Subject Beaudesert E860704 entity
Predicate formerRailwayTerminusOf P151408 FINISHED
Object Beaudesert railway line
The Beaudesert railway line was a former rural branch railway in Queensland, Australia, that connected the town of Beaudesert to the broader rail network.
 E2058730 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: Beaudesert railway line | Statement: [Beaudesert, formerRailwayTerminusOf, Beaudesert railway line]
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: Beaudesert railway line
Triple: [Beaudesert, formerRailwayTerminusOf, Beaudesert railway line]
Generated description
The Beaudesert railway line was a former rural branch railway in Queensland, Australia, that connected the town of Beaudesert to the broader rail network.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerRailwayTerminusOf
Context triple: [Beaudesert, formerRailwayTerminusOf, Beaudesert railway line]
  • A. formerRailwayStation
    Indicates that a location previously functioned as a railway station but is no longer in active railway service.
  • B. servedByRailwayTerminus
    Indicates that a place or location is provided rail transport services by a specific railway terminus.
  • C. railroadTerminusFor
    Indicates that one location serves as the end point or final station of a particular railroad line for another location.
  • D. railTerminusFor chosen
    Indicates that one location serves as the final or terminal rail station or endpoint for a specified rail line or service.
  • E. foundedAsRailroadStopFor
    Indicates that one place or settlement was originally established specifically to serve as a railroad stop for another location or line.
  • 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_69f3497f35908190a2e9bbb9b96c7a3f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ffc605b0648190a7abe9128b0d857a completed May 9, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a361195c6388190b28cf76494ee311b completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a36121eafe48190af44fd40dae5578f completed June 20, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_6a361297fbb8819085acfc601f909124 completed June 20, 2026, 4:10 a.m.
PD Predicate disambiguation batch_69ffc5742d80819099f947ece78d5700 completed May 9, 2026, 11:38 p.m.
Created at: May 1, 2026, 1:41 a.m.