Triple

T16659254
Position Surface form Disambiguated ID Type / Status
Subject Banana Shire E404814 entity
Predicate hasTown P847 FINISHED
Object Wowan
Wowan is a small rural town in Central Queensland, Australia, known historically for its dairy and cattle farming.
 E1226475 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: Wowan | Statement: [Banana Shire, hasTown, Wowan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wowan
Context triple: [Banana Shire, hasTown, Wowan]
  • A. Kadın
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • B. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • C. Randa
    Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • D. Uma
    Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
  • E. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • 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: Wowan
Triple: [Banana Shire, hasTown, Wowan]
Generated description
Wowan is a small rural town in Central Queensland, Australia, known historically for its dairy and cattle farming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wowan
Target entity description: Wowan is a small rural town in Central Queensland, Australia, known historically for its dairy and cattle farming.
  • A. Kadın
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • B. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • C. Randa
    Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • D. Uma
    Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
  • E. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfcbb6881909c0419174dd017dc completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ce7cf0819091e7a4de2cc010ea completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00862fe04481908bc114001357aea9 completed May 10, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00879d9f948190bdf40ff7be2505ff completed May 10, 2026, 1:26 p.m.
Created at: April 10, 2026, 5:18 a.m.