Triple

T12817061
Position Surface form Disambiguated ID Type / Status
Subject District Council of Grant E306428 entity
Predicate hasLocality P7943 FINISHED
Object Caroline
Caroline is a rural locality within the District Council of Grant in South Australia, known for its agricultural and forestry activities.
 E1004293 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: Caroline | Statement: [District Council of Grant, hasLocality, Caroline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caroline
Context triple: [District Council of Grant, hasLocality, Caroline]
  • A. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • B. Caroline
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • C. Caroline
    "Caroline" is a breakout hip-hop single by American rapper Aminé, known for its catchy hook and playful storytelling.
  • D. Caroline
    Caroline is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort social circle and romantic entanglements.
  • E. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • 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: Caroline
Triple: [District Council of Grant, hasLocality, Caroline]
Generated description
Caroline is a rural locality within the District Council of Grant in South Australia, known for its agricultural and forestry activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caroline
Target entity description: Caroline is a rural locality within the District Council of Grant in South Australia, known for its agricultural and forestry activities.
  • A. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • B. Caroline
    Caroline is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort social circle and romantic entanglements.
  • C. Caroline
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • D. Caroline
    Caroline is the given name of Lady Caroline Spencer-Churchill, a British aristocrat from the prominent Spencer-Churchill family.
  • E. Caroline
    Caroline is a Danish princess, known formally as Princess Wilhelmina Caroline of Denmark, who lived in the 18th century.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecee33c8190a6bf045731bb9326 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f692361c3c81909078a19be1a86231 completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:31 p.m.