Triple

T5992119
Position Surface form Disambiguated ID Type / Status
Subject Liepāja E133373 entity
Predicate hasDistrict P459 FINISHED
Object Vecliepāja
Vecliepāja is the historic central district of the Latvian port city of Liepāja, known for its older urban fabric and cultural heritage.
E562334 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: Vecliepāja | Statement: [Liepāja, hasDistrict, Vecliepāja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vecliepāja
Context triple: [Liepāja, hasDistrict, Vecliepāja]
  • A. Vecrīga
    Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • B. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • C. Pikaliiva
    Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • D. Iclingas
    The Iclingas were the early royal dynasty of the Anglo-Saxon kingdom of Mercia, traditionally tracing their lineage back to the legendary figure Icel.
  • E. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • 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: Vecliepāja
Triple: [Liepāja, hasDistrict, Vecliepāja]
Generated description
Vecliepāja is the historic central district of the Latvian port city of Liepāja, known for its older urban fabric and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vecliepāja
Target entity description: Vecliepāja is the historic central district of the Latvian port city of Liepāja, known for its older urban fabric and cultural heritage.
  • A. Vecrīga
    Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • B. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • C. Pikaliiva
    Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • D. Iclingas
    The Iclingas were the early royal dynasty of the Anglo-Saxon kingdom of Mercia, traditionally tracing their lineage back to the legendary figure Icel.
  • E. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e8fd030819095a4f3b3d425ec21 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10861c0bc8190b6290d7363f4264a completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10c44b6408190be8bc1d96e0db2e4 completed March 23, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69c10cd7c1c8819085ec8bee7f42afc4 completed March 23, 2026, 9:50 a.m.
Created at: March 22, 2026, 4:05 p.m.