Triple

T11413959
Position Surface form Disambiguated ID Type / Status
Subject Brand Highway E270440 entity
Predicate passesNear P416 FINISHED
Object Cataby
Cataby is a small locality in Western Australia known primarily as a roadside stop and service point along major transport routes.
E924306 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: Cataby | Statement: [Brand Highway, passesNear, Cataby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cataby
Context triple: [Brand Highway, passesNear, Cataby]
  • A. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • B. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • C. Catonis
    Catonis is a Latin cognomen most notably associated with the Roman statesman and moralist Cato and his family line.
  • D. Cateel
    Cateel is a coastal municipality in the province of Davao Oriental in the Philippines, known for its natural attractions such as Aliwagwag Falls.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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: Cataby
Triple: [Brand Highway, passesNear, Cataby]
Generated description
Cataby is a small locality in Western Australia known primarily as a roadside stop and service point along major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cataby
Target entity description: Cataby is a small locality in Western Australia known primarily as a roadside stop and service point along major transport routes.
  • A. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • B. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • C. Catonis
    Catonis is a Latin cognomen most notably associated with the Roman statesman and moralist Cato and his family line.
  • D. Cateel
    Cateel is a coastal municipality in the province of Davao Oriental in the Philippines, known for its natural attractions such as Aliwagwag Falls.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b86936348190b8fa4125995c2a85 completed April 20, 2026, 5:23 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.