Triple

T20062583
Position Surface form Disambiguated ID Type / Status
Subject Kose Parish E499517 entity
Predicate containsSettlement P847 FINISHED
Object Oru
Oru is a village located within Kose Parish in northern Estonia.
E1409074 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: Oru | Statement: [Kose Parish, containsSettlement, Oru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oru
Context triple: [Kose Parish, containsSettlement, Oru]
  • A. Oru
    Oru is a town in Ijebu North Local Government Area of Ogun State in southwestern Nigeria.
  • B. ORU
    ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
  • C. ORU
    ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. Orkh
    Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
  • 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: Oru
Triple: [Kose Parish, containsSettlement, Oru]
Generated description
Oru is a village located within Kose Parish in northern Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oru
Target entity description: Oru is a village located within Kose Parish in northern Estonia.
  • A. Oru
    Oru is a town in Ijebu North Local Government Area of Ogun State in southwestern Nigeria.
  • B. ORU
    ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
  • C. ORU
    ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. Orkh
    Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66376f2d4819081b9e1b265650e5b completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081612662c81909cb1e90910ca76ac completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816d3c71081909138d3144a108266 completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a081798cb48819084ab456f79b68eb9 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:39 p.m.