Triple

T12817056
Position Surface form Disambiguated ID Type / Status
Subject District Council of Grant E306428 entity
Predicate hasLocality P7943 FINISHED
Object Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
 E1004290 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: Tarpeena | Statement: [District Council of Grant, hasLocality, Tarpeena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarpeena
Context triple: [District Council of Grant, hasLocality, Tarpeena]
  • A. Raakh
    Raakh is a 1989 Indian neo-noir crime drama film, acclaimed for its gritty storytelling and performances, and regarded as a cult classic in Hindi cinema.
  • B. Nagin
    Nagin is a surname most notably associated with Ray Nagin, the former mayor of New Orleans.
  • C. Anjana
    Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
  • D. Meenas
    The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
  • E. Aradhana
    Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
  • 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: Tarpeena
Triple: [District Council of Grant, hasLocality, Tarpeena]
Generated description
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarpeena
Target entity description: Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
  • A. Raakh
    Raakh is a 1989 Indian neo-noir crime drama film, acclaimed for its gritty storytelling and performances, and regarded as a cult classic in Hindi cinema.
  • B. Nagin
    Nagin is a surname most notably associated with Ray Nagin, the former mayor of New Orleans.
  • C. Anjana
    Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
  • D. Meenas
    The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
  • E. Aradhana
    Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
  • 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.