Triple

T11414201
Position Surface form Disambiguated ID Type / Status
Subject Mid West E270446 entity
Predicate containsTown P847 FINISHED
Object Leeman
Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
 E924319 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: Leeman | Statement: [Mid West, containsTown, Leeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leeman
Context triple: [Mid West, containsTown, Leeman]
  • A. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Yetman
    Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
  • D. Erdman
    Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
  • E. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • 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: Leeman
Triple: [Mid West, containsTown, Leeman]
Generated description
Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leeman
Target entity description: Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
  • A. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Yetman
    Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
  • D. Erdman
    Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
  • E. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b86936348190b8fa4125995c2a85 completed April 20, 2026, 5:23 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.