Triple

T20499619
Position Surface form Disambiguated ID Type / Status
Subject Rapla County E503265 entity
Predicate containsSettlement P847 FINISHED
Object Järvakandi
Järvakandi is a small town in central Estonia known historically for its glass industry and location within Rapla County.
E1434208 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: Järvakandi | Statement: [Rapla County, containsSettlement, Järvakandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Järvakandi
Context triple: [Rapla County, containsSettlement, Järvakandi]
  • A. Järveotsa
    Järveotsa is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • B. 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.
  • C. Järva-Jaani
    Järva-Jaani is a small town in central Estonia known for its historic wooden architecture and rural cultural heritage.
  • D. Järvi
    Järvi is a Finnish surname most prominently associated with the renowned family of conductors, including Paavo Järvi.
  • E. 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.
  • 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: Järvakandi
Triple: [Rapla County, containsSettlement, Järvakandi]
Generated description
Järvakandi is a small town in central Estonia known historically for its glass industry and location within Rapla County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Järvakandi
Target entity description: Järvakandi is a small town in central Estonia known historically for its glass industry and location within Rapla County.
  • A. Järveotsa
    Järveotsa is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • B. 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.
  • C. Järva-Jaani
    Järva-Jaani is a small town in central Estonia known for its historic wooden architecture and rural cultural heritage.
  • D. Järvi
    Järvi is a Finnish surname most prominently associated with the renowned family of conductors, including Paavo Järvi.
  • E. 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.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bd1c508190bbba38fb36650723 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894634f748190ae0a3be77125bf03 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08958072d08190a0e4ba12c7e550ea completed May 16, 2026, 4:04 p.m.
Created at: April 16, 2026, 11:35 a.m.