Triple

T2207099
Position Surface form Disambiguated ID Type / Status
Subject Marker E50824 entity
Predicate containsSettlement P847 FINISHED
Object Ørje E245882 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: Ørje | Statement: [Marker, containsSettlement, Ørje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ørje
Context triple: [Marker, containsSettlement, Ørje]
  • A. Ørje chosen
    Ørje is a small village in southeastern Norway known for its historic locks on the Halden Canal and its role as a local commercial and service hub.
  • B. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • C. Inderøy
    Inderøy is a rural municipality in central Norway known for its cultural heritage, agricultural landscape, and scenic location along the Trondheimsfjord.
  • D. Ormøya
    Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
  • E. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af84b708190ac3170a343eb107f completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:46 p.m.