Triple

T5051746
Position Surface form Disambiguated ID Type / Status
Subject Viimsi Parish E113800 entity
Predicate hasSettlement P1068 FINISHED
Object Pringi
Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
 E491076 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: Pringi | Statement: [Viimsi Parish, hasSettlement, Pringi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pringi
Context triple: [Viimsi Parish, hasSettlement, Pringi]
  • A. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • B. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • C. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • D. Jajaghu
    Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
  • E. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • 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: Pringi
Triple: [Viimsi Parish, hasSettlement, Pringi]
Generated description
Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pringi
Target entity description: Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • A. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • B. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • C. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • D. Jajaghu
    Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
  • E. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • 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.