Triple

T1299483
Position Surface form Disambiguated ID Type / Status
Subject Clark County E27728 entity
Predicate contains P35 FINISHED
Object Laughlin
Laughlin is a small resort town on the Colorado River in southern Nevada, known for its casinos, riverfront recreation, and proximity to the Arizona border.
E147604 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: Laughlin | Statement: [Clark County, contains, Laughlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laughlin
Context triple: [Clark County, contains, Laughlin]
  • A. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • B. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • C. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • D. Hielan’ Laddie
    Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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: Laughlin
Triple: [Clark County, contains, Laughlin]
Generated description
Laughlin is a small resort town on the Colorado River in southern Nevada, known for its casinos, riverfront recreation, and proximity to the Arizona border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laughlin
Target entity description: Laughlin is a small resort town on the Colorado River in southern Nevada, known for its casinos, riverfront recreation, and proximity to the Arizona border.
  • A. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • B. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • C. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • D. Hielan’ Laddie
    Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c111a76c81909e6b914694986251 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc631b88190853948eeb5f24527 completed March 7, 2026, 10:55 p.m.
NEDg Description generation batch_69acad4b2234819097d94df7812d3b13 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadf94f0881908b0be66e37b8c04a completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:51 p.m.