Triple

T10892029
Position Surface form Disambiguated ID Type / Status
Subject ASK/Ogre E257200 entity
Predicate location P40 FINISHED
Object Ogre, Latvia
Ogre, Latvia is a small town in central Latvia known for its scenic location along the Ogre River and its role as a local administrative and cultural center.
 E892777 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: Ogre, Latvia | Statement: [ASK/Ogre, location, Ogre, Latvia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ogre, Latvia
Context triple: [ASK/Ogre, location, Ogre, Latvia]
  • A. Kegums
    Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
  • B. Zemgale
    Zemgale is a historical and cultural region in southern Latvia, known for its fertile plains and agricultural significance.
  • C. Igerna
    Igerna is an alternate name for Igraine, the mother of King Arthur in Arthurian legend.
  • D. Svir
    Svir is a river in northwestern Russia that connects Lake Onega with Lake Ladoga and forms part of the Volga–Baltic Waterway.
  • E. Cēsis
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • 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: Ogre, Latvia
Triple: [ASK/Ogre, location, Ogre, Latvia]
Generated description
Ogre, Latvia is a small town in central Latvia known for its scenic location along the Ogre River and its role as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ogre, Latvia
Target entity description: Ogre, Latvia is a small town in central Latvia known for its scenic location along the Ogre River and its role as a local administrative and cultural center.
  • A. Kegums
    Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
  • B. Zemgale
    Zemgale is a historical and cultural region in southern Latvia, known for its fertile plains and agricultural significance.
  • C. Igerna
    Igerna is an alternate name for Igraine, the mother of King Arthur in Arthurian legend.
  • D. Svir
    Svir is a river in northwestern Russia that connects Lake Onega with Lake Ladoga and forms part of the Volga–Baltic Waterway.
  • E. Cēsis
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1550d6b4081909483c5dfa6e85671 completed April 16, 2026, 9:30 p.m.
NEDg Description generation batch_69e17d3331788190a9ee03fc4c6ca191 completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1ff5b3d488190a545bee24381d01e completed April 17, 2026, 9:37 a.m.
Created at: April 8, 2026, 9:21 p.m.