Triple

T15290138
Position Surface form Disambiguated ID Type / Status
Subject Vidzeme E365504 entity
Predicate containsCity P294 FINISHED
Object Gulbene
Gulbene is a small town in northeastern Latvia known as a local administrative center and for its historic narrow-gauge railway.
 E1149373 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: Gulbene | Statement: [Vidzeme, containsCity, Gulbene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gulbene
Context triple: [Vidzeme, containsCity, Gulbene]
  • A. Gurgan
    Gurgan was an important ancient city in the region of Hyrcania, near the southeastern coast of the Caspian Sea, that served as a key political and strategic center in late antiquity.
  • B. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • C. Baiul
    Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
  • D. Goubuli
    Goubuli is a famous Chinese food brand best known for its traditional Tianjin-style stuffed buns (baozi) with a long history and strong cultural recognition.
  • E. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • 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: Gulbene
Triple: [Vidzeme, containsCity, Gulbene]
Generated description
Gulbene is a small town in northeastern Latvia known as a local administrative center and for its historic narrow-gauge railway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gulbene
Target entity description: Gulbene is a small town in northeastern Latvia known as a local administrative center and for its historic narrow-gauge railway.
  • A. Gurgan
    Gurgan was an important ancient city in the region of Hyrcania, near the southeastern coast of the Caspian Sea, that served as a key political and strategic center in late antiquity.
  • B. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • C. Baiul
    Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
  • D. Goubuli
    Goubuli is a famous Chinese food brand best known for its traditional Tianjin-style stuffed buns (baozi) with a long history and strong cultural recognition.
  • E. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef899e55c8190b1c26491bf37967a completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fef9ed514081909a54da584dff7e5c completed May 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69fefa72f9cc819089550217ea7c7d6e completed May 9, 2026, 9:12 a.m.
Created at: April 10, 2026, 3:15 a.m.