Triple

T15373117
Position Surface form Disambiguated ID Type / Status
Subject Tornedalen E367597 entity
Predicate containsTown P847 FINISHED
Object Haparanda E506229 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: Haparanda | Statement: [Tornedalen, containsTown, Haparanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haparanda
Context triple: [Tornedalen, containsTown, Haparanda]
  • A. Haparanda chosen
    Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
  • B. Gällivare
    Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
  • C. Pajala
    Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
  • D. Piteå
    Piteå is a coastal town in northern Sweden known for its historic wooden architecture, archipelago, and role as a regional cultural and industrial center in Norrbotten County.
  • E. Kiruna
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b528f408190b66d3d6e10e90a43 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.