Triple

T13649850
Position Surface form Disambiguated ID Type / Status
Subject Bandåsen E326700 entity
Predicate locatedOn P40 FINISHED
Object Ombo E326700 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: Ombo | Statement: [Bandåsen, locatedOn, Ombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ombo
Context triple: [Bandåsen, locatedOn, Ombo]
  • A. Ombo chosen
    Ombo is a large island in Rogaland county, Norway, known for its rural landscapes, agriculture, and coastal scenery.
  • B. Birka
    Birka was a major Viking Age trading center and early urban settlement located on the island of Björkö in present-day Sweden.
  • C. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • D. Kom Ombo
    Kom Ombo is an Egyptian town on the Nile best known for its unique double temple dedicated to the gods Sobek and Horus.
  • E. Mehen
    Mehen is an ancient Egyptian protective serpent deity who coils around the sun god Ra to shield him from threats like the chaos serpent Apep.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78afbf8948190ad38ea7529e52f16 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.