Triple

T14591762
Position Surface form Disambiguated ID Type / Status
Subject Somerset Region E342463 entity
Predicate hasTown P847 FINISHED
Object Harlin
Harlin is a small rural town in Queensland, Australia, situated within the Somerset Region and known for its quiet countryside setting.
E1109313 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: Harlin | Statement: [Somerset Region, hasTown, Harlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlin
Context triple: [Somerset Region, hasTown, Harlin]
  • A. Tyldum
    Tyldum is a Norwegian surname most notably borne by film director Morten Tyldum, known for works such as "The Imitation Game."
  • B. Harline
    Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
  • C. Gavron
    Gavron is a surname most notably associated with British actor Rafi Gavron.
  • D. Flaherty
    Flaherty is an unincorporated community located in Meade County, Kentucky, United States.
  • E. Flaherty
    Flaherty is an Irish surname of Gaelic origin, derived from the Ó Flaithbheartaigh family name.
  • 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: Harlin
Triple: [Somerset Region, hasTown, Harlin]
Generated description
Harlin is a small rural town in Queensland, Australia, situated within the Somerset Region and known for its quiet countryside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harlin
Target entity description: Harlin is a small rural town in Queensland, Australia, situated within the Somerset Region and known for its quiet countryside setting.
  • A. Tyldum
    Tyldum is a Norwegian surname most notably borne by film director Morten Tyldum, known for works such as "The Imitation Game."
  • B. Harline
    Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
  • C. Gavron
    Gavron is a surname most notably associated with British actor Rafi Gavron.
  • D. Flaherty
    Flaherty is an unincorporated community located in Meade County, Kentucky, United States.
  • E. Flaherty
    Flaherty is an Irish surname of Gaelic origin, derived from the Ó Flaithbheartaigh family name.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c36bb881909af16aa1df1766f8 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd9ab12c38819081772da28b5fe7da completed May 8, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69fd9bb4dba08190b2ed507a47462b34 completed May 8, 2026, 8:15 a.m.
Created at: April 10, 2026, 1:24 a.m.