Triple

T820585
Position Surface form Disambiguated ID Type / Status
Subject Alabama E17742 entity
Predicate containsCity P294 FINISHED
Object Livingston
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
E112067 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: Livingston | Statement: [Alabama, containsCity, Livingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingston
Context triple: [Alabama, containsCity, Livingston]
  • A. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • B. Livingston
    Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
  • C. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • D. Corryton
    Corryton is an unincorporated community in northeastern Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • E. Townsville
    Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
  • 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: Livingston
Triple: [Alabama, containsCity, Livingston]
Generated description
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Livingston
Target entity description: Livingston is a small city in western Alabama known as the home of the University of West Alabama.
  • A. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • B. Livingston
    Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
  • C. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • D. Corryton
    Corryton is an unincorporated community in northeastern Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • E. Townsville
    Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab6698d881908d8c5d91259f97ec completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a93395f2d8819082d622d1d6415073 completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a974b2e084819082a46e24dd67e852 completed March 5, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69a975517db48190b73e0c54ee1f6d60 completed March 5, 2026, 12:21 p.m.
Created at: March 1, 2026, 7:38 p.m.