Triple

T5120848
Position Surface form Disambiguated ID Type / Status
Subject Tskhinvali E115458 entity
Predicate roadConnection P385 FINISHED
Object Java (Dzau)
Java (Dzau) is a town in South Ossetia that serves as an important regional center and transport hub in the mountainous area north of Tskhinvali.
 E495638 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: Java (Dzau) | Statement: [Tskhinvali, roadConnection, Java (Dzau)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Java (Dzau)
Context triple: [Tskhinvali, roadConnection, Java (Dzau)]
  • A. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • B. Java (Indonesian island)
    Java is a major Indonesian island that is the political and economic heart of the country, home to the capital Jakarta and one of the world’s largest populations.
  • C. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • D. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • E. JAV
    JAV is the station code for Gare de Javel, a Paris RER commuter rail station in the 15th arrondissement.
  • 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: Java (Dzau)
Triple: [Tskhinvali, roadConnection, Java (Dzau)]
Generated description
Java (Dzau) is a town in South Ossetia that serves as an important regional center and transport hub in the mountainous area north of Tskhinvali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Java (Dzau)
Target entity description: Java (Dzau) is a town in South Ossetia that serves as an important regional center and transport hub in the mountainous area north of Tskhinvali.
  • A. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • B. Java (Indonesian island)
    Java is a major Indonesian island that is the political and economic heart of the country, home to the capital Jakarta and one of the world’s largest populations.
  • C. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • D. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • E. JAV
    JAV is the station code for Gare de Javel, a Paris RER commuter rail station in the 15th arrondissement.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78015ad88190a3e51da494c19e30 completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4b0578c819081ad7554bafafe49 completed March 21, 2026, 4:17 p.m.
NEDg Description generation batch_69bec5f51b5081909f86a9382357d7a4 completed March 21, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69bec67416c48190aed61c9f37bd718a completed March 21, 2026, 4:25 p.m.
Created at: March 20, 2026, 1:42 p.m.