Triple

T14346074
Position Surface form Disambiguated ID Type / Status
Subject Krasnoarmeysk E355723 entity
Predicate formerName P65 FINISHED
Object Balanda
Balanda is the former name of the Russian town now known as Krasnoarmeysk in Saratov Oblast.
 E1093572 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: Balanda | Statement: [Krasnoarmeysk, formerName, Balanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balanda
Context triple: [Krasnoarmeysk, formerName, Balanda]
  • A. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Bazil
    Bazil is the hapless yet resourceful protagonist of the French film "Micmacs," who sets out to take revenge on the weapons manufacturers that ruined his life.
  • D. Oosteinde
    Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
  • E. Oosteinde
    Oosteinde is a small village in the northern Netherlands that forms part of the former municipality of Eemsmond in the province of Groningen.
  • 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: Balanda
Triple: [Krasnoarmeysk, formerName, Balanda]
Generated description
Balanda is the former name of the Russian town now known as Krasnoarmeysk in Saratov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balanda
Target entity description: Balanda is the former name of the Russian town now known as Krasnoarmeysk in Saratov Oblast.
  • A. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Bazil
    Bazil is the hapless yet resourceful protagonist of the French film "Micmacs," who sets out to take revenge on the weapons manufacturers that ruined his life.
  • D. Oosteinde
    Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
  • E. Oosteinde
    Oosteinde is a small village in the northern Netherlands that forms part of the former municipality of Eemsmond in the province of Groningen.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469f63b881909c164b1aaadcc15d completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47bbc5e081908aa8b0e76661234f completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4840f0688190975d8c3c7eefb132 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.