Triple

T15663228
Position Surface form Disambiguated ID Type / Status
Subject Urana Shire E376619 entity
Predicate containsLocality P45140 FINISHED
Object Savernake
Savernake is a rural locality within the Urana Shire area of New South Wales, Australia.
 E1169825 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: Savernake | Statement: [Urana Shire, containsLocality, Savernake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Savernake
Context triple: [Urana Shire, containsLocality, Savernake]
  • A. Morvan
    Morvan is a character in Samuel Beckett’s short play "Rough for Theatre II," typically portrayed as one of two bureaucrats coldly evaluating a man’s life from his personal documents.
  • B. Teigne
    Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
  • C. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • D. Vieussan
    Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
  • E. Nive d’Arnéguy
    Nive d’Arnéguy is a tributary river of the Nive in the French Basque Country, flowing near the border with Spain.
  • 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: Savernake
Triple: [Urana Shire, containsLocality, Savernake]
Generated description
Savernake is a rural locality within the Urana Shire area of New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Savernake
Target entity description: Savernake is a rural locality within the Urana Shire area of New South Wales, Australia.
  • A. Morvan
    Morvan is a character in Samuel Beckett’s short play "Rough for Theatre II," typically portrayed as one of two bureaucrats coldly evaluating a man’s life from his personal documents.
  • B. Teigne
    Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
  • C. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • D. Vieussan
    Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
  • E. Nive d’Arnéguy
    Nive d’Arnéguy is a tributary river of the Nive in the French Basque Country, flowing near the border with Spain.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:16 a.m.