Triple

T13176099
Position Surface form Disambiguated ID Type / Status
Subject Avanersuaq region E313101 entity
Predicate partOf P40 FINISHED
Object Thule area E313102 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: Thule area | Statement: [Avanersuaq region, partOf, Thule area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thule area
Context triple: [Avanersuaq region, partOf, Thule area]
  • A. Thule area chosen
    The Thule area is a remote region in northwest Greenland known for its indigenous Inughuit communities, Arctic landscapes, and historical role as a polar exploration and military outpost zone.
  • B. Osilo area
    The Osilo area is a subregion of northern Sardinia in Italy, known for its hilltop town, medieval castle, and traditional pastoral culture.
  • C. Drusberg area
    The Drusberg area is a mountainous region in the Swiss Alps known for its rugged terrain and alpine landscapes.
  • D. Thule Tracking Station
    Thule Tracking Station is a U.S. military satellite tracking and control facility located in Greenland that supports space operations for the Air Force Satellite Control Network.
  • E. Yanesen area
    The Yanesen area is a traditional, low-key neighborhood in Tokyo known for its preserved shitamachi atmosphere, narrow streets, old temples, and nostalgic local shops.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c322fdc8190b05f2287eba9dda6 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e5eacc8190ae39dcdb12c9b563 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.