Triple

T11413957
Position Surface form Disambiguated ID Type / Status
Subject Brand Highway E270440 entity
Predicate passesNear P416 FINISHED
Object Gingin
Gingin is a small rural town in Western Australia known for its historic architecture, agriculture, and proximity to the Gravity Discovery Centre and Observatory.
 E924304 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: Gingin | Statement: [Brand Highway, passesNear, Gingin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gingin
Context triple: [Brand Highway, passesNear, Gingin]
  • A. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • B. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • C. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • D. Pangai
    Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
  • E. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • 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: Gingin
Triple: [Brand Highway, passesNear, Gingin]
Generated description
Gingin is a small rural town in Western Australia known for its historic architecture, agriculture, and proximity to the Gravity Discovery Centre and Observatory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gingin
Target entity description: Gingin is a small rural town in Western Australia known for its historic architecture, agriculture, and proximity to the Gravity Discovery Centre and Observatory.
  • A. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • B. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • C. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • D. Pangai
    Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
  • E. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • 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.