Triple

T15104399
Position Surface form Disambiguated ID Type / Status
Subject Blackall Range E360749 entity
Predicate hasTown P847 FINISHED
Object Witta
Witta is a small rural town in Queensland, Australia, known for its scenic hinterland setting in the Sunshine Coast region.
E1137181 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: Witta | Statement: [Blackall Range, hasTown, Witta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witta
Context triple: [Blackall Range, hasTown, Witta]
  • A. Wallesau
    Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
  • B. Buariki
    Buariki is a village on the atoll of Aranuka in the island nation of Kiribati.
  • C. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • D. Ngwena
    Ngwena is the nickname of Emmerson Mnangagwa, the Zimbabwean politician and president known for his long-standing role in the country’s ruling party and post-Mugabe leadership.
  • E. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • 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: Witta
Triple: [Blackall Range, hasTown, Witta]
Generated description
Witta is a small rural town in Queensland, Australia, known for its scenic hinterland setting in the Sunshine Coast region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Witta
Target entity description: Witta is a small rural town in Queensland, Australia, known for its scenic hinterland setting in the Sunshine Coast region.
  • A. Wallesau
    Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
  • B. Buariki
    Buariki is a village on the atoll of Aranuka in the island nation of Kiribati.
  • C. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • D. Ngwena
    Ngwena is the nickname of Emmerson Mnangagwa, the Zimbabwean politician and president known for his long-standing role in the country’s ruling party and post-Mugabe leadership.
  • E. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb06643508190a21939ff3e1389c6 completed May 9, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69feb0d114388190b2b16703003da446 completed May 9, 2026, 3:58 a.m.
Created at: April 10, 2026, 3:05 a.m.