Triple

T4526132
Position Surface form Disambiguated ID Type / Status
Subject Northland Region E106182 entity
Predicate contains P35 FINISHED
Object Rawene
Rawene is a small historic town in New Zealand known for its scenic harbour setting on the Hokianga Harbour in the Northland Region.
 E450024 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: Rawene | Statement: [Northland Region, contains, Rawene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rawene
Context triple: [Northland Region, contains, Rawene]
  • A. Tiaro
    Tiaro is a small rural town in Queensland, Australia, situated within the Fraser Coast Region and known for its agricultural surroundings and historic charm.
  • B. Tairua
    Tairua is a small coastal town and popular holiday destination on New Zealand’s Coromandel Peninsula, known for its beaches, fishing, and scenic views of nearby offshore islands.
  • C. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • D. Navua
    Navua is a small town on the southern coast of Fiji’s main island, Viti Levu, known for its river, surrounding rainforest, and adventure tourism activities.
  • E. Mata-Utu
    Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • 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: Rawene
Triple: [Northland Region, contains, Rawene]
Generated description
Rawene is a small historic town in New Zealand known for its scenic harbour setting on the Hokianga Harbour in the Northland Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rawene
Target entity description: Rawene is a small historic town in New Zealand known for its scenic harbour setting on the Hokianga Harbour in the Northland Region.
  • A. Tiaro
    Tiaro is a small rural town in Queensland, Australia, situated within the Fraser Coast Region and known for its agricultural surroundings and historic charm.
  • B. Tairua
    Tairua is a small coastal town and popular holiday destination on New Zealand’s Coromandel Peninsula, known for its beaches, fishing, and scenic views of nearby offshore islands.
  • C. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • D. Navua
    Navua is a small town on the southern coast of Fiji’s main island, Viti Levu, known for its river, surrounding rainforest, and adventure tourism activities.
  • E. Mata-Utu
    Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda44fcec48190a1430b4e74ec30fb completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda5b564648190ab2badb264910185 completed March 20, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_69bda658568c8190bf97e4328e3799be completed March 20, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:03 p.m.