Triple

T22043722
Position Surface form Disambiguated ID Type / Status
Subject Montana Territory E544706 entity
Predicate capital P234 FINISHED
Object Helena
Helena is the capital city of the U.S. state of Montana, known historically as a prosperous gold rush town in the 19th century.
E35660 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: Helena | Statement: [Montana Territory, capital, Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena
Context triple: [Montana Territory, capital, Helena]
  • A. Helena
    Helena is a German princess from the House of Waldeck and Pyrmont, a minor princely family historically associated with the region of Waldeck in present-day Germany.
  • B. Helena
    Helena is a novel by Brazilian writer Machado de Assis, often noted for its exploration of family secrets, social conventions, and romantic intrigue in 19th-century Rio de Janeiro.
  • C. Helena
    Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
  • D. Helena
    Helena is a feminine given name of Greek origin meaning "light" or "bright one," famously borne by figures such as Helen of Troy and various saints and queens.
  • E. Helena
    Helena is the intelligent, determined heroine of Shakespeare’s comedy "All’s Well That Ends Well," known for her resourcefulness and unwavering pursuit of love.
  • 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: Helena
Triple: [Montana Territory, capital, Helena]
Generated description
Helena is the capital city of the U.S. state of Montana, known historically as a prosperous gold rush town in the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helena
Target entity description: Helena is the capital city of the U.S. state of Montana, known historically as a prosperous gold rush town in the 19th century.
  • A. Helena chosen
    Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
  • B. Helena
    Helena is a feminine given name of Greek origin meaning "light" or "bright one," famously borne by figures such as Helen of Troy and various saints and queens.
  • C. Helena
    Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
  • D. Helena
    Helena was a British princess, the third daughter of Queen Victoria and Prince Albert, known for her charitable work and support of nursing and women's education.
  • E. Helena
    Helena is a German princess from the House of Waldeck and Pyrmont, a minor princely family historically associated with the region of Waldeck in present-day Germany.
  • F. None of above.

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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282ac42c819099b2f664f79f5b83 completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7324488190b33025d70d882f26 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c4736808190bd04e03adcb2d97b completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d80f9c08190b18e04b9e9cf47a5 completed May 18, 2026, 2:46 a.m.
Created at: April 16, 2026, 8:25 p.m.