Triple

T5220120
Position Surface form Disambiguated ID Type / Status
Subject Western Montana E117849 entity
Predicate hasMajorCity P316 FINISHED
Object Libby
Libby is a small city in northwestern Montana known for its scenic setting near the Kootenai River and surrounding forests and mountains.
 E504088 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: Libby | Statement: [Western Montana, hasMajorCity, Libby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Libby
Context triple: [Western Montana, hasMajorCity, Libby]
  • A. Libby
    Libby is a surname most notably associated with Willard F. Libby, the American chemist who developed radiocarbon dating and won the Nobel Prize in Chemistry.
  • B. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • C. Zoe
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • D. Maddy
    Maddy is a common diminutive or nickname typically used for the given name Madison.
  • E. Molly
    Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
  • 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: Libby
Triple: [Western Montana, hasMajorCity, Libby]
Generated description
Libby is a small city in northwestern Montana known for its scenic setting near the Kootenai River and surrounding forests and mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Libby
Target entity description: Libby is a small city in northwestern Montana known for its scenic setting near the Kootenai River and surrounding forests and mountains.
  • A. Libby
    Libby is a surname most notably associated with Willard F. Libby, the American chemist who developed radiocarbon dating and won the Nobel Prize in Chemistry.
  • B. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • C. Zoe
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • D. Maddy
    Maddy is a common diminutive or nickname typically used for the given name Madison.
  • E. Molly
    Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ab846548190bcd2c5cd238f6cd9 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff0b15081908741aadfd351811c completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef309c230819094ed6ae3fefe6e5b completed March 21, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69bef36c88f4819082931dbe1bb13f89 completed March 21, 2026, 7:37 p.m.
Created at: March 20, 2026, 1:48 p.m.