Triple

T14591786
Position Surface form Disambiguated ID Type / Status
Subject Somerset Region E342463 entity
Predicate hasTown P847 FINISHED
Object Linhaven
Linhaven is a town located within Queensland’s rural Somerset Region in Australia.
E1109328 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: Linhaven | Statement: [Somerset Region, hasTown, Linhaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linhaven
Context triple: [Somerset Region, hasTown, Linhaven]
  • A. Parker Point
    Parker Point is a popular scenic beach and snorkeling spot on Rottnest Island off the coast of Western Australia.
  • B. Parker Point
    Parker Point is a scenic coastal area and prominent shoreline feature in Blue Hill, Maine, known for its waterfront views and access to Blue Hill Bay.
  • C. Wyandanch
    Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
  • D. Marshall Point
    Marshall Point is a historic lighthouse and scenic coastal landmark located in the Midcoast region of Maine.
  • E. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • 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: Linhaven
Triple: [Somerset Region, hasTown, Linhaven]
Generated description
Linhaven is a town located within Queensland’s rural Somerset Region in Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linhaven
Target entity description: Linhaven is a town located within Queensland’s rural Somerset Region in Australia.
  • A. Parker Point
    Parker Point is a popular scenic beach and snorkeling spot on Rottnest Island off the coast of Western Australia.
  • B. Parker Point
    Parker Point is a scenic coastal area and prominent shoreline feature in Blue Hill, Maine, known for its waterfront views and access to Blue Hill Bay.
  • C. Wyandanch
    Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
  • D. Marshall Point
    Marshall Point is a historic lighthouse and scenic coastal landmark located in the Midcoast region of Maine.
  • E. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • 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.