Triple

T16240650
Position Surface form Disambiguated ID Type / Status
Subject Cochran County E394235 entity
Predicate hasCountySeat P383 FINISHED
Object Morton, Texas
Morton, Texas is a small West Texas city that serves as the administrative and economic hub of Cochran County.
E1371921 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: Morton, Texas | Statement: [Cochran County, hasCountySeat, Morton, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton, Texas
Context triple: [Cochran County, hasCountySeat, Morton, Texas]
  • A. Morse, Texas
    Morse, Texas is a small rural community located in the Texas Panhandle region of the United States.
  • B. Moody, Texas
    Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
  • C. Mason, Texas
    Mason, Texas is a small historic town in the Texas Hill Country known for its rural charm and as the birthplace of author Fred Gipson.
  • D. Muleshoe, Texas
    Muleshoe, Texas is a small rural city in Bailey County known for its agricultural economy and its location near the New Mexico border in the Texas Panhandle.
  • E. Mineola, Texas
    Mineola, Texas is a small East Texas city known as a regional hub for railroads, agriculture, and antique shopping.
  • 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: Morton, Texas
Triple: [Cochran County, hasCountySeat, Morton, Texas]
Generated description
Morton, Texas is a small West Texas city that serves as the administrative and economic hub of Cochran County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morton, Texas
Target entity description: Morton, Texas is a small West Texas city that serves as the administrative and economic hub of Cochran County.
  • A. Morse, Texas
    Morse, Texas is a small rural community located in the Texas Panhandle region of the United States.
  • B. Moody, Texas
    Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
  • C. Mason, Texas
    Mason, Texas is a small historic town in the Texas Hill Country known for its rural charm and as the birthplace of author Fred Gipson.
  • D. Muleshoe, Texas
    Muleshoe, Texas is a small rural city in Bailey County known for its agricultural economy and its location near the New Mexico border in the Texas Panhandle.
  • E. Mineola, Texas
    Mineola, Texas is a small East Texas city known as a regional hub for railroads, agriculture, and antique shopping.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455e1ce08190b97e2ab3e8c6d535 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0723ef338c819084b9f2d04aea4290 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07256bcabc819090f9a13046df763f completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0726306be48190962cb5eebb214136 completed May 15, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:04 a.m.