Triple

T17032568
Position Surface form Disambiguated ID Type / Status
Subject Töölönlahti Bay E413234 entity
Predicate hasShore P969 FINISHED
Object Alppiharju
Alppiharju is a densely populated central district of Helsinki, Finland, known for its early 20th-century urban architecture, parks, and vibrant local culture.
E1246279 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: Alppiharju | Statement: [Töölönlahti Bay, hasShore, Alppiharju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alppiharju
Context triple: [Töölönlahti Bay, hasShore, Alppiharju]
  • A. Alp
    Alp is a small municipality in the Cerdanya region of the Catalan Pyrenees in northeastern Spain, known for its mountain scenery and proximity to popular ski resorts.
  • B. Alpens
    Alpens is a small municipality in the comarca of Osona in Catalonia, northeastern Spain, known for its rural character and traditional Catalan architecture.
  • C. Pister
    Pister is a German surname most notably borne by Hermann Pister, a Nazi SS officer and commandant of the Buchenwald concentration camp.
  • D. Alpestre
    Alpestre is a municipality in the state of Rio Grande do Sul, Brazil, situated near the Foz do Chapecó hydroelectric dam on the Uruguay River.
  • E. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • 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: Alppiharju
Triple: [Töölönlahti Bay, hasShore, Alppiharju]
Generated description
Alppiharju is a densely populated central district of Helsinki, Finland, known for its early 20th-century urban architecture, parks, and vibrant local culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alppiharju
Target entity description: Alppiharju is a densely populated central district of Helsinki, Finland, known for its early 20th-century urban architecture, parks, and vibrant local culture.
  • A. Alp
    Alp is a small municipality in the Cerdanya region of the Catalan Pyrenees in northeastern Spain, known for its mountain scenery and proximity to popular ski resorts.
  • B. Alpens
    Alpens is a small municipality in the comarca of Osona in Catalonia, northeastern Spain, known for its rural character and traditional Catalan architecture.
  • C. Pister
    Pister is a German surname most notably borne by Hermann Pister, a Nazi SS officer and commandant of the Buchenwald concentration camp.
  • D. Alpestre
    Alpestre is a municipality in the state of Rio Grande do Sul, Brazil, situated near the Foz do Chapecó hydroelectric dam on the Uruguay River.
  • E. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8ed79448190a750a29a99913fda completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5748bc8190832737a70219e7a1 completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c99c3948190ac3d3d9059dbb57e completed May 11, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a011d4b53d081909781235ded1c2b35 completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.