Triple

T3432772
Position Surface form Disambiguated ID Type / Status
Subject Nerang E72376 entity
Predicate hasNearbySuburb P41355 FINISHED
Object Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
 E357321 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: Gaven | Statement: [Nerang, hasNearbySuburb, Gaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaven
Context triple: [Nerang, hasNearbySuburb, Gaven]
  • A. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • B. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • C. Garrett
    Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • D. Kaven
    Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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: Gaven
Triple: [Nerang, hasNearbySuburb, Gaven]
Generated description
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaven
Target entity description: Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • A. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • B. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • C. Garrett
    Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • D. Kaven
    Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c077d48190bee40795cab3e422 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547d3f4c8190bc6811398bd8f080 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b3566a6f3c8190a717deb08209c880 completed March 13, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69b356f8f7648190b10e62990634af79 completed March 13, 2026, 12:14 a.m.
Created at: March 8, 2026, 3:15 p.m.