Triple

T20466197
Position Surface form Disambiguated ID Type / Status
Subject Thalgau E502054 entity
Predicate hasSubdivision P747 FINISHED
Object Linden
Linden is a locality or subdivision within the municipality of Thalgau in Austria.
E1433076 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: Linden | Statement: [Thalgau, hasSubdivision, Linden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linden
Context triple: [Thalgau, hasSubdivision, Linden]
  • A. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • B. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • C. Linden
    Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
  • D. Linden
    Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
  • E. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • 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: Linden
Triple: [Thalgau, hasSubdivision, Linden]
Generated description
Linden is a locality or subdivision within the municipality of Thalgau in Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linden
Target entity description: Linden is a locality or subdivision within the municipality of Thalgau in Austria.
  • A. Linden
    Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
  • B. Linden
    Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
  • C. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • D. Linden
    Linden is a city in Union County, New Jersey, known for its industrial facilities and proximity to major transportation routes near Newark and New York City.
  • E. Linden
    Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696aa0794819082c9989b1f7e9f37 completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b188f208190a8cb7850c209f0de completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c8a61cc8190a6c1d4e09257ddfe completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088cf2bb688190b407b12013dd4aa0 completed May 16, 2026, 3:27 p.m.
Created at: April 16, 2026, 11:33 a.m.