Triple

T9218392
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Province E221297 entity
Predicate containsTown P847 FINISHED
Object Vielsalm E221299 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: Vielsalm | Statement: [Luxembourg Province, containsTown, Vielsalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vielsalm
Context triple: [Luxembourg Province, containsTown, Vielsalm]
  • A. Vielsalm chosen
    Vielsalm is a municipality in the Belgian province of Luxembourg, known for its Ardennes landscapes and outdoor tourism.
  • B. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • C. Balve
    Balve is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its limestone caves and scenic Sauerland surroundings.
  • D. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • E. Sallaands
    Sallaands is a regional dialect of Dutch spoken in the Salland area of the province of Overijssel in the Netherlands.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662427dc81908cb9bfacc5b9e0f5 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.