Triple

T3704318
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth, South Australia E80853 entity
Predicate nearbySuburb P41355 FINISHED
Object Elizabeth South
Elizabeth South is a residential suburb in the northern Adelaide metropolitan area of South Australia.
 E382980 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: Elizabeth South | Statement: [Elizabeth, South Australia, nearbySuburb, Elizabeth South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabeth South
Context triple: [Elizabeth, South Australia, nearbySuburb, Elizabeth South]
  • A. Clare West
    Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
  • B. Southery
    Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
  • C. Sydenham
    Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
  • D. Kersey
    Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
  • E. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • 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: Elizabeth South
Triple: [Elizabeth, South Australia, nearbySuburb, Elizabeth South]
Generated description
Elizabeth South is a residential suburb in the northern Adelaide metropolitan area of South Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabeth South
Target entity description: Elizabeth South is a residential suburb in the northern Adelaide metropolitan area of South Australia.
  • A. Clare West
    Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
  • B. Southery
    Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
  • C. Sydenham
    Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
  • D. Kersey
    Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
  • E. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54aaac88190b775dba2513b6d4a completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdfada708190ba6ae04bad52bb2b completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4d2be3be4819082c9627099b78e32 completed March 14, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69b4d395336881908a942dd408560a81 completed March 14, 2026, 3:18 a.m.
Created at: March 8, 2026, 3:33 p.m.