Triple

T20463887
Position Surface form Disambiguated ID Type / Status
Subject Saue municipality E501997 entity
Predicate formedByMergerOf P77 FINISHED
Object Saue town
Saue town is a small urban settlement in northern Estonia that now forms part of the larger Saue municipality.
E1433024 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: Saue town | Statement: [Saue municipality, formedByMergerOf, Saue town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saue town
Context triple: [Saue municipality, formedByMergerOf, Saue town]
  • A. Sann town
    Sann town is a settlement in Sindh, Pakistan, known for its historical significance and as the birthplace of prominent Sindhi nationalist leader G. M. Syed.
  • B. Segelfoss Town
    Segelfoss Town is a novel by Norwegian author Knut Hamsun that portrays the social and economic transformations of a small Norwegian town at the turn of the 20th century.
  • C. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • D. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • E. Sundheim
    Sundheim is a district of the German town of Kehl in the state of Baden-Württemberg.
  • 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: Saue town
Triple: [Saue municipality, formedByMergerOf, Saue town]
Generated description
Saue town is a small urban settlement in northern Estonia that now forms part of the larger Saue municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saue town
Target entity description: Saue town is a small urban settlement in northern Estonia that now forms part of the larger Saue municipality.
  • A. Sann town
    Sann town is a settlement in Sindh, Pakistan, known for its historical significance and as the birthplace of prominent Sindhi nationalist leader G. M. Syed.
  • B. Segelfoss Town
    Segelfoss Town is a novel by Norwegian author Knut Hamsun that portrays the social and economic transformations of a small Norwegian town at the turn of the 20th century.
  • C. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • D. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • E. Sundheim
    Sundheim is a district of the German town of Kehl in the state of Baden-Württemberg.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a88374819087e7b97c83074d2c 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.