Triple

T16490694
Position Surface form Disambiguated ID Type / Status
Subject Greenland Parliament building E400559 entity
Predicate locatedIn P40 FINISHED
Object Sermersooq E400564 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: Sermersooq | Statement: [Greenland Parliament building, locatedIn, Sermersooq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sermersooq
Context triple: [Greenland Parliament building, locatedIn, Sermersooq]
  • A. Narsarsuaq
    Narsarsuaq is a small settlement in southern Greenland known for its international airport and as a gateway to nearby fjords and Norse historical sites.
  • B. Sermersooq municipality chosen
    Sermersooq municipality is a large administrative region in southeastern and central Greenland that encompasses vast Arctic landscapes, including Greenland’s highest mountain, Gunnbjørn Fjeld.
  • C. Qassiarsuk
    Qassiarsuk is a village in southern Greenland known as the site of Erik the Red’s former Norse settlement, Brattahlid.
  • D. Kujalleq
    Kujalleq is the southernmost municipality of Greenland, encompassing several towns and settlements including Qaqortoq.
  • E. Labytnangi
    Labytnangi is a small town in Russia’s Yamalo-Nenets Autonomous Okrug, located on the Ob River in the Arctic region and serving as a local transport and industrial hub.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e2f31f48190825af5934d976ab7 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.