Triple

T20122404
Position Surface form Disambiguated ID Type / Status
Subject Laba River E490642 entity
Predicate hasNameInLanguage P15 FINISHED
Object Лаба
Лаба — это река на Северном Кавказе в России, являющаяся одним из истоков Кубани.
 E1413324 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: Лаба | Statement: [Laba River, hasNameInLanguage, Лаба]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Лаба
Context triple: [Laba River, hasNameInLanguage, Лаба]
  • A. Labo
    Labo is a municipality in the Philippine province of Camarines Norte known for its agricultural economy and natural attractions such as caves, waterfalls, and mineral resources.
  • B. Laber
    Laber is a mountain peak in the Ammergau Alps of Bavaria, Germany, known for its panoramic views and accessibility via a cable car.
  • C. Laber
    Laber is a river in Bavaria, Germany, that flows through the Regensburg district.
  • D. Par Lab
    Par Lab is a research laboratory at UC Berkeley focused on advancing parallel computing systems, software, and applications.
  • E. The Lab
    The Lab is a South African television drama series centered on the high-stakes world of corporate finance and investment banking.
  • 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: Лаба
Triple: [Laba River, hasNameInLanguage, Лаба]
Generated description
Лаба — это река на Северном Кавказе в России, являющаяся одним из истоков Кубани.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Лаба
Target entity description: Лаба — это река на Северном Кавказе в России, являющаяся одним из истоков Кубани.
  • A. Labo
    Labo is a municipality in the Philippine province of Camarines Norte known for its agricultural economy and natural attractions such as caves, waterfalls, and mineral resources.
  • B. Laber
    Laber is a mountain peak in the Ammergau Alps of Bavaria, Germany, known for its panoramic views and accessibility via a cable car.
  • C. Laber
    Laber is a river in Bavaria, Germany, that flows through the Regensburg district.
  • D. Par Lab
    Par Lab is a research laboratory at UC Berkeley focused on advancing parallel computing systems, software, and applications.
  • E. The Lab
    The Lab is a South African television drama series centered on the high-stakes world of corporate finance and investment banking.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673f5b4c8190bf9fb5f4e6b6a452 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dd54c58819094d85cb8f110aece completed May 16, 2026, 8:41 a.m.
NEDg Description generation batch_6a082e57f8208190a5a6272288394323 completed May 16, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a08302457f8819091fbd2588c695f97 completed May 16, 2026, 8:51 a.m.
Created at: April 11, 2026, 11:30 p.m.