Triple

T22402238
Position Surface form Disambiguated ID Type / Status
Subject Muhu E553788 entity
Predicate hasVillage P4011 FINISHED
Object Lõetsa
Lõetsa is a small village located on Muhu Island in Saare County, western Estonia.
E1550482 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: Lõetsa | Statement: [Muhu, hasVillage, Lõetsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lõetsa
Context triple: [Muhu, hasVillage, Lõetsa]
  • A. Lõmala
    Lõmala is a small village located in Saare County on the island of Saaremaa in western Estonia.
  • B. Kuusalu
    Kuusalu is a small borough in northern Estonia that serves as the main local hub for administration, services, and community life in the surrounding rural area.
  • C. Lihula
    Lihula is a small historic town in western Estonia known for its medieval castle ruins and early role as a regional ecclesiastical and administrative center.
  • D. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • E. Leppneeme
    Leppneeme is a coastal village in northern Estonia known for its small harbor and proximity to the capital, Tallinn.
  • 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: Lõetsa
Triple: [Muhu, hasVillage, Lõetsa]
Generated description
Lõetsa is a small village located on Muhu Island in Saare County, western Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lõetsa
Target entity description: Lõetsa is a small village located on Muhu Island in Saare County, western Estonia.
  • A. Lõmala
    Lõmala is a small village located in Saare County on the island of Saaremaa in western Estonia.
  • B. Kuusalu
    Kuusalu is a small borough in northern Estonia that serves as the main local hub for administration, services, and community life in the surrounding rural area.
  • C. Lihula
    Lihula is a small historic town in western Estonia known for its medieval castle ruins and early role as a regional ecclesiastical and administrative center.
  • D. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • E. Leppneeme
    Leppneeme is a coastal village in northern Estonia known for its small harbor and proximity to the capital, Tallinn.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ebadd18819082de314c3da14e57 completed May 18, 2026, 9:03 p.m.
NEDg Description generation batch_6a0b8086dedc81908b8482851ddee55d completed May 18, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0b80e09d2081908400cc978d76a4a1 completed May 18, 2026, 9:13 p.m.
Created at: April 16, 2026, 8:46 p.m.