Triple

T16906598
Position Surface form Disambiguated ID Type / Status
Subject Helgö E424578 entity
Predicate nearbySettlement P350 FINISHED
Object Birka E580170 NE FINISHED

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: Birka | Statement: [Helgö, nearbySettlement, Birka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Birka
Context triple: [Helgö, nearbySettlement, Birka]
  • A. Birka chosen
    Birka was a major Viking Age trading center and early urban settlement located on the island of Björkö in present-day Sweden.
  • B. Ombo
    Ombo is a large island in Rogaland county, Norway, known for its rural landscapes, agriculture, and coastal scenery.
  • C. Birket Qarun
    Birket Qarun is a large, saline lake in Egypt’s Faiyum Depression, historically linked to ancient Lake Moeris and known for its unique ecology and archaeological significance.
  • D. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • E. Birtinya
    Birtinya is a coastal suburb on Queensland’s Sunshine Coast known for its residential developments, lakeside setting, and proximity to major health and commercial precincts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b7b698819081d2e39976b69587 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.