Triple

T7626478
Position Surface form Disambiguated ID Type / Status
Subject Glen Waverley line E172645 entity
Predicate servesSuburb P82 FINISHED
Object Gardiner
Gardiner is a residential suburb in Melbourne, Victoria, known for its access to public transport and proximity to the city’s inner east.
 E679012 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: Gardiner | Statement: [Glen Waverley line, servesSuburb, Gardiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardiner
Context triple: [Glen Waverley line, servesSuburb, Gardiner]
  • A. Gardiner
    Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. Gardiner
    Gardiner is a commonly used short name for the Gardiner Expressway, a major elevated highway running along Toronto’s waterfront.
  • C. Orono
    Orono is a suburban city in Minnesota known for its affluent residential communities and scenic location along the north shore of Lake Minnetonka.
  • D. Orono
    Orono is a small rural village in Ontario, Canada, known for its historic downtown, agricultural surroundings, and community events.
  • E. Gardiner, Maine
    Gardiner, Maine is a small historic city in central Maine located along the Kennebec River, known for its preserved downtown and 19th-century architecture.
  • 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: Gardiner
Triple: [Glen Waverley line, servesSuburb, Gardiner]
Generated description
Gardiner is a residential suburb in Melbourne, Victoria, known for its access to public transport and proximity to the city’s inner east.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardiner
Target entity description: Gardiner is a residential suburb in Melbourne, Victoria, known for its access to public transport and proximity to the city’s inner east.
  • A. Gardiner
    Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. Gardiner
    Gardiner is a commonly used short name for the Gardiner Expressway, a major elevated highway running along Toronto’s waterfront.
  • C. Orono
    Orono is a small rural village in Ontario, Canada, known for its historic downtown, agricultural surroundings, and community events.
  • D. Orono
    Orono is a suburban city in Minnesota known for its affluent residential communities and scenic location along the north shore of Lake Minnetonka.
  • E. Gardiner, Maine
    Gardiner, Maine is a small historic city in central Maine located along the Kennebec River, known for its preserved downtown and 19th-century architecture.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8150ac8190908aec411b0f4e50 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ab1132481909e525e90764df041 completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89b9d22e88190b08543c975ce7898 completed March 29, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c89c2e62848190a5339707ba401772 completed March 29, 2026, 3:27 a.m.
Created at: March 27, 2026, 3:56 p.m.