Triple

T2279745
Position Surface form Disambiguated ID Type / Status
Subject Ural River E51253 entity
Predicate flowsThrough P225 FINISHED
Object Oral
Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
E250763 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: Oral | Statement: [Ural River, flowsThrough, Oral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oral
Context triple: [Ural River, flowsThrough, Oral]
  • A. Orations
    Orations is a celebrated collection of theological and rhetorical speeches by Gregory of Nazianzus, a 4th-century Church Father and influential Christian theologian.
  • B. Saliva
    Saliva is an American rock band known for its nu metal and hard rock sound, rising to prominence in the early 2000s with hits like "Click Click Boom."
  • C. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • D. Oral Fixation, Vol. 2
    Oral Fixation, Vol. 2 is Shakira’s 2005 English-language pop album featuring the global hit single “Hips Don’t Lie.”
  • E. Verbal Behavior
    Verbal Behavior is B. F. Skinner’s influential book that applies the principles of behaviorism to the analysis and explanation of human language.
  • 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: Oral
Triple: [Ural River, flowsThrough, Oral]
Generated description
Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oral
Target entity description: Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
  • A. Orations
    Orations is a celebrated collection of theological and rhetorical speeches by Gregory of Nazianzus, a 4th-century Church Father and influential Christian theologian.
  • B. Saliva
    Saliva is an American rock band known for its nu metal and hard rock sound, rising to prominence in the early 2000s with hits like "Click Click Boom."
  • C. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • D. Oral Fixation, Vol. 2
    Oral Fixation, Vol. 2 is Shakira’s 2005 English-language pop album featuring the global hit single “Hips Don’t Lie.”
  • E. Verbal Behavior
    Verbal Behavior is B. F. Skinner’s influential book that applies the principles of behaviorism to the analysis and explanation of human language.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2194150819083156e4dcd45a423 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e48fb081908498f826167020a2 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bdc5dc81908f475353999161e4 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae76720e3c8190aeb82dd8779ff715 completed March 9, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:48 p.m.