Triple

T6838038
Position Surface form Disambiguated ID Type / Status
Subject Mackay Region E157498 entity
Predicate hasLocality P7943 FINISHED
Object Marian
Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
E622727 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: Marian | Statement: [Mackay Region, hasLocality, Marian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marian
Context triple: [Mackay Region, hasLocality, Marian]
  • A. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • B. Elizabeth of the Trinity
    Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
  • C. Joan
    Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • D. Joan
    Joan is the middle name of Margaret Trudeau, the Canadian author, actress, and former wife of Prime Minister Pierre Trudeau.
  • E. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • 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: Marian
Triple: [Mackay Region, hasLocality, Marian]
Generated description
Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marian
Target entity description: Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
  • A. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • B. Elizabeth of the Trinity
    Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
  • C. Joan
    Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • D. Joan
    Joan is a central character in the 1986 romantic comedy-drama film "About Last Night," which explores the complexities of modern relationships.
  • E. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67db4008190b86b497bf6f0c73a completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7240321108190860e91ebeb738a8f completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724e915dc8190a82b69939f78420d completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c728ddadd881909c2faa435031a635 completed March 28, 2026, 1:03 a.m.
Created at: March 27, 2026, 2:19 p.m.