Triple

T15054324
Position Surface form Disambiguated ID Type / Status
Subject Western Downs Region E379448 entity
Predicate hasTown P847 FINISHED
Object Miles
Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing areas.
E360519 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: Miles | Statement: [Western Downs Region, hasTown, Miles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles
Context triple: [Western Downs Region, hasTown, Miles]
  • A. Miles
    Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
  • B. Miles
    Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
  • C. Miles
    Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
  • D. Miles
    Miles is a charming, affable film composer portrayed by Jack Black in the romantic comedy "The Holiday."
  • E. Miles
    Miles is a character in the action-thriller television series "The Continental: From the World of John Wick," which explores the criminal underworld surrounding the infamous assassin hotel.
  • 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: Miles
Triple: [Western Downs Region, hasTown, Miles]
Generated description
Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miles
Target entity description: Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing areas.
  • A. Miles chosen
    Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
  • B. Miles
    Miles is a given name commonly used in English-speaking countries, borne by numerous notable figures across fields such as music, sports, and film.
  • C. Miles
    Miles is a surname most notably associated with Nelson A. Miles, a prominent United States Army general of the late 19th and early 20th centuries.
  • D. Miles
    Miles is the surname of Ken Miles, the renowned British sports car racing engineer and driver closely associated with Shelby American and Ford’s GT racing program.
  • E. Miles
    Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
  • F. None of above.

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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bdeee48190949b0fe63eb6a21a completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea79dd1bc8190ae1ac5edad3db9cb completed May 9, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fea83aaff48190af7a7399e40fdf46 completed May 9, 2026, 3:21 a.m.
Created at: April 10, 2026, 3:01 a.m.