Triple

T5051661
Position Surface form Disambiguated ID Type / Status
Subject Harju County E113798 entity
Predicate contains P35 FINISHED
Object Saue
Saue is a small town in northern Estonia that serves as a local administrative and residential center within the Tallinn metropolitan area.
E491065 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 | Statement: [Harju County, contains, Saue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saue
Context triple: [Harju County, contains, Saue]
  • A. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • B. Sauvo
    Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
  • C. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • D. Suinula
    Suinula is a locality in Finland historically noted as a site of significant events during the Finnish Civil War’s White Terror period.
  • E. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • 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
Triple: [Harju County, contains, Saue]
Generated description
Saue is a small town in northern Estonia that serves as a local administrative and residential center within the Tallinn metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saue
Target entity description: Saue is a small town in northern Estonia that serves as a local administrative and residential center within the Tallinn metropolitan area.
  • A. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • B. Sauvo
    Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
  • C. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • D. Suinula
    Suinula is a locality in Finland historically noted as a site of significant events during the Finnish Civil War’s White Terror period.
  • E. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea483b6cc8190b3b48598a291d708 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea5e902a88190a96a0dea88d3952e completed March 21, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69bea9961f8c8190b7ac93e199aa76d7 completed March 21, 2026, 2:22 p.m.
Created at: March 20, 2026, 1:37 p.m.