Triple

T21749651
Position Surface form Disambiguated ID Type / Status
Subject New Mapoon E536878 entity
Predicate roadAccessFrom P22549 FINISHED
Object Seisia NE NERFINISHED

How this triple was built (2 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: Seisia | Statement: [New Mapoon, roadAccessFrom, Seisia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seisia
Context triple: [New Mapoon, roadAccessFrom, Seisia]
  • A. Seisia chosen
    Seisia is a small coastal community in far northern Queensland, Australia, known as a key Torres Strait transport and fishing hub near the tip of Cape York Peninsula.
  • B. Sikiajhora
    Sikiajhora is a forest stream and wetland area within West Bengal’s Buxa Tiger Reserve, known for its rich biodiversity and boat-based wildlife viewing.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Sarakole
    Sarakole is another name for the Soninke, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
  • E. Oseleta
    Oseleta is a rare, dark-skinned Italian grape variety from the Valpolicella area, known for producing deeply colored, tannic wines often used in blends to add structure and intensity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:50 p.m.