Triple

T14078266
Position Surface form Disambiguated ID Type / Status
Subject Newtown, New South Wales E338795 entity
Predicate hasCinema P1060 FINISHED
Object Dendy Newtown
Dendy Newtown is a popular independent cinema in Sydney known for screening a mix of arthouse, international, and mainstream films.
E1077228 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: Dendy Newtown | Statement: [Newtown, New South Wales, hasCinema, Dendy Newtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dendy Newtown
Context triple: [Newtown, New South Wales, hasCinema, Dendy Newtown]
  • A. The Arcade
    The Arcade is a music production team best known for crafting the sound of V's debut solo album.
  • B. Konsol Station
    Konsol Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • C. Fukuda Denshi Arena
    Fukuda Denshi Arena is a football stadium in Chiba, Japan, best known as the home ground of JEF United Chiba.
  • D. Dyna
    Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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: Dendy Newtown
Triple: [Newtown, New South Wales, hasCinema, Dendy Newtown]
Generated description
Dendy Newtown is a popular independent cinema in Sydney known for screening a mix of arthouse, international, and mainstream films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dendy Newtown
Target entity description: Dendy Newtown is a popular independent cinema in Sydney known for screening a mix of arthouse, international, and mainstream films.
  • A. The Arcade
    The Arcade is a music production team best known for crafting the sound of V's debut solo album.
  • B. Konsol Station
    Konsol Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • C. Fukuda Denshi Arena
    Fukuda Denshi Arena is a football stadium in Chiba, Japan, best known as the home ground of JEF United Chiba.
  • D. Dyna
    Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb670f51c819088e8d0137f8d3bb1 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcbef464248190881012d92777557c completed May 7, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_69fcbfbae7608190a8d8cf0fa270df9d completed May 7, 2026, 4:37 p.m.
Created at: April 9, 2026, 10:21 p.m.