Triple

T54435
Position Surface form Disambiguated ID Type / Status
Subject Amtrak E1072 entity
Predicate majorRoute P385 FINISHED
Object Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
 E9916 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: Crescent | Statement: [Amtrak, majorRoute, Crescent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crescent
Context triple: [Amtrak, majorRoute, Crescent]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • C. Zephyr Cove
    Zephyr Cove is a small lakeside community and popular recreation area on the southeastern shore of Lake Tahoe in Nevada, known for its beaches, boating, and scenic mountain views.
  • D. Turtle Bay
    Turtle Bay is a neighborhood on Manhattan’s East Side in New York City, best known as the site of the United Nations Headquarters.
  • E. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • 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: Crescent
Triple: [Amtrak, majorRoute, Crescent]
Generated description
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crescent
Target entity description: Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • C. Zephyr Cove
    Zephyr Cove is a small lakeside community and popular recreation area on the southeastern shore of Lake Tahoe in Nevada, known for its beaches, boating, and scenic mountain views.
  • D. Turtle Bay
    Turtle Bay is a neighborhood on Manhattan’s East Side in New York City, best known as the site of the United Nations Headquarters.
  • E. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b06c5488190afb5429a7999e3f3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c17a9888190b8222d661165bd9f completed Feb. 28, 2026, 4:16 a.m.
NEDg Description generation batch_69a26d277ea881908612b8d07ace7e63 completed Feb. 28, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69a27148b83081908ee3f8479f63ac06 completed Feb. 28, 2026, 4:38 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.