Triple

T16278363
Position Surface form Disambiguated ID Type / Status
Subject Livingstone E395196 entity
Predicate hasVariant P455 FINISHED
Object Livingston
Livingston is a town name used in various English-speaking countries, most notably for communities in Scotland and the United States.
E24590 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: [Livingstone, hasVariant, Livingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingston
Context triple: [Livingstone, hasVariant, 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 small city in western Alabama known as the home of the University of West Alabama.
  • C. Livingston
    Livingston is a residential neighborhood on Staten Island, New York City, known for its historic character and proximity to cultural institutions like Snug Harbor.
  • D. Livingston
    Livingston is a small agricultural city in California’s Central Valley, located in Merced County.
  • E. Livingston
    Livingston is a small Montana city known as a historic railroad town and gateway to Yellowstone National Park, with a vibrant arts scene and scenic mountain surroundings.
  • 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: [Livingstone, hasVariant, Livingston]
Generated description
Livingston is a town name used in various English-speaking countries, most notably for communities in Scotland and the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Livingston
Target entity description: Livingston is a town name used in various English-speaking countries, most notably for communities in Scotland and the United States.
  • A. Livingston chosen
    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. Livingston
    Livingston is a small city in western Alabama known as the home of the University of West Alabama.
  • D. Livingston
    Livingston is a given name used as a first name, notably borne by Margaret Livingston Cady.
  • E. Livingston
    Livingston is a small Montana city known as a historic railroad town and gateway to Yellowstone National Park, with a vibrant arts scene and scenic mountain surroundings.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460f73648190b5c931f2ba2a09da completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c2b9688190b96d62d83a03f158 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00191957b8819083cf576e481c3429 completed May 10, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0019a24abc819083441f178323c646 completed May 10, 2026, 5:37 a.m.
Created at: April 10, 2026, 5:05 a.m.