Triple

T14592336
Position Surface form Disambiguated ID Type / Status
Subject Scenic Rim Regional Council area E342473 entity
Predicate containsLocality P45140 FINISHED
Object Boyland
Boyland is a rural locality in Queensland, Australia, known for its scenic countryside within the Scenic Rim region.
E1108915 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: Boyland | Statement: [Scenic Rim Regional Council area, containsLocality, Boyland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyland
Context triple: [Scenic Rim Regional Council area, containsLocality, Boyland]
  • A. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • B. Bonderman
    Bonderman is a surname most prominently associated with American billionaire investor and private equity pioneer David Bonderman.
  • C. Bohley
    Bohley is a German surname most notably borne by Bärbel Bohley, a prominent East German civil rights activist and painter.
  • D. Berry Brow
    Berry Brow is a suburban village and railway stop near Huddersfield in West Yorkshire, England.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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: Boyland
Triple: [Scenic Rim Regional Council area, containsLocality, Boyland]
Generated description
Boyland is a rural locality in Queensland, Australia, known for its scenic countryside within the Scenic Rim region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boyland
Target entity description: Boyland is a rural locality in Queensland, Australia, known for its scenic countryside within the Scenic Rim region.
  • A. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • B. Bonderman
    Bonderman is a surname most prominently associated with American billionaire investor and private equity pioneer David Bonderman.
  • C. Bohley
    Bohley is a German surname most notably borne by Bärbel Bohley, a prominent East German civil rights activist and painter.
  • D. Berry Brow
    Berry Brow is a suburban village and railway stop near Huddersfield in West Yorkshire, England.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd988f734481908ca4960a69fc2b2a completed May 8, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_69fd9a30a73c8190877d5d0ada2e21ca completed May 8, 2026, 8:09 a.m.
Created at: April 10, 2026, 1:24 a.m.