Triple

T6494671
Position Surface form Disambiguated ID Type / Status
Subject Schellenberg E148126 entity
Predicate locatedIn P40 FINISHED
Object Liechtenstein E19647 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: Liechtenstein | Statement: [Schellenberg, locatedIn, Liechtenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liechtenstein
Context triple: [Schellenberg, locatedIn, Liechtenstein]
  • A. Liechtenstein chosen
    Liechtenstein is a small, landlocked principality in Central Europe known for its alpine landscape, strong financial sector, and status as one of the world's wealthiest countries per capita.
  • B. Switzerland and Liechtenstein
    Switzerland and Liechtenstein are two small, landlocked Central European countries known for their Alpine landscapes, close economic ties, and shared use of the Swiss franc.
  • C. Luxembourg
    Luxembourg is a small, landlocked Western European country known for its prosperous economy, status as a major financial center, and role as a founding member of the European Union.
  • D. Lichtenstein
    Lichtenstein is a surname most famously associated with Roy Lichtenstein, the American pop artist known for his comic-strip-inspired paintings.
  • E. Andorra
    Andorra is a small, landlocked principality in the eastern Pyrenees between France and Spain, known for its mountainous terrain, tourism, and status as a tax haven.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdf59548190b4ba4f44716e6b3c completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.