Triple

T20499031
Position Surface form Disambiguated ID Type / Status
Subject Triesenberg E503251 entity
Predicate contains P35 FINISHED
Object Steg
Steg is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and access to hiking and winter sports.
E1434162 NE FINISHED

How this triple was built (4 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: Steg | Statement: [Triesenberg, contains, Steg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steg
Context triple: [Triesenberg, contains, Steg]
  • A. Steg
    Steg is a small village in the canton of Valais in southwestern Switzerland, situated in the Rhône valley near the town of Gampel.
  • B. Steginsel
    Steginsel is a small island located in Lake Staffelsee in Bavaria, Germany.
  • C. Stec
    Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
  • D. Stegny
    Stegny is a residential neighborhood in the Mokotów district of Warsaw, Poland, known for its large housing estates and green spaces.
  • E. Stege
    Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steg
Triple: [Triesenberg, contains, Steg]
Generated description
Steg is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and access to hiking and winter sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steg
Target entity description: Steg is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and access to hiking and winter sports.
  • A. Steg
    Steg is a small village in the canton of Valais in southwestern Switzerland, situated in the Rhône valley near the town of Gampel.
  • B. Steginsel
    Steginsel is a small island located in Lake Staffelsee in Bavaria, Germany.
  • C. Stec
    Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
  • D. Stegny
    Stegny is a residential neighborhood in the Mokotów district of Warsaw, Poland, known for its large housing estates and green spaces.
  • E. Stege
    Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
  • F. None of above. chosen

Provenance (5 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bd1c508190bbba38fb36650723 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894634f748190ae0a3be77125bf03 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08958072d08190a0e4ba12c7e550ea completed May 16, 2026, 4:04 p.m.
Created at: April 16, 2026, 11:35 a.m.