Triple

T4834429
Position Surface form Disambiguated ID Type / Status
Subject Tasman Peninsula E108022 entity
Predicate contains P35 FINISHED
Object Nubeena
Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
 E472676 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: Nubeena | Statement: [Tasman Peninsula, contains, Nubeena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nubeena
Context triple: [Tasman Peninsula, contains, Nubeena]
  • A. Rukhsana
    Rukhsana is a feminine given name, commonly used in South Asian and Muslim cultures, that is a variant of the name Roxana.
  • B. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • C. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • D. Shabana
    Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
  • E. Gauri
    Gauri is a central character in Jhumpa Lahiri’s novel "The Lowland," whose life is shaped by political upheaval, personal loss, and the complexities of migration and identity.
  • 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: Nubeena
Triple: [Tasman Peninsula, contains, Nubeena]
Generated description
Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nubeena
Target entity description: Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
  • A. Rukhsana
    Rukhsana is a feminine given name, commonly used in South Asian and Muslim cultures, that is a variant of the name Roxana.
  • B. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • C. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • D. Shabana
    Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
  • E. Gauri
    Gauri is a central character in Jhumpa Lahiri’s novel "The Lowland," whose life is shaped by political upheaval, personal loss, and the complexities of migration and identity.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cde9b2081909f1aef81850d6007 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dda71e08190a28215f91405a4e1 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e7718708190a5eccce7ac124068 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:25 p.m.