Triple

T5175207
Position Surface form Disambiguated ID Type / Status
Subject Kharkiv Oblast E116779 entity
Predicate containsCity P294 FINISHED
Object Merefa
Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
E499155 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: Merefa | Statement: [Kharkiv Oblast, containsCity, Merefa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merefa
Context triple: [Kharkiv Oblast, containsCity, Merefa]
  • A. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • B. Mweelrea
    Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
  • C. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • E. Tarmuwa
    Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
  • 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: Merefa
Triple: [Kharkiv Oblast, containsCity, Merefa]
Generated description
Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Merefa
Target entity description: Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
  • A. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • B. Mweelrea
    Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
  • C. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • E. Tarmuwa
    Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94a6ed08190b035afa20123c737 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bed9d6e1288190be0d8d83233eb3c2 completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69beda5f15e8819094040085d566e5a6 completed March 21, 2026, 5:50 p.m.
Created at: March 20, 2026, 1:45 p.m.