Triple

T12167075
Position Surface form Disambiguated ID Type / Status
Subject Lingleville, Texas E289860 entity
Predicate originalName P65 FINISHED
Object Needmore
Needmore is the former name of Lingleville, a small unincorporated rural community in Erath County, Texas.
E966674 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: Needmore | Statement: [Lingleville, Texas, originalName, Needmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Needmore
Context triple: [Lingleville, Texas, originalName, Needmore]
  • A. Cheyenne
    Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
  • B. Cheyenne
    Cheyenne is a Western film written by screenwriter James R. Webb.
  • C. Cheyenne
    The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
  • D. Mile High City
    Mile High City is the popular nickname for Denver, Colorado, highlighting its elevation of approximately one mile above sea level.
  • E. Reno
    Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
  • 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: Needmore
Triple: [Lingleville, Texas, originalName, Needmore]
Generated description
Needmore is the former name of Lingleville, a small unincorporated rural community in Erath County, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Needmore
Target entity description: Needmore is the former name of Lingleville, a small unincorporated rural community in Erath County, Texas.
  • A. Cheyenne
    Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
  • B. Cheyenne
    Cheyenne is a Western film written by screenwriter James R. Webb.
  • C. Cheyenne
    The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
  • D. Mile High City
    Mile High City is the popular nickname for Denver, Colorado, highlighting its elevation of approximately one mile above sea level.
  • E. Reno
    Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d85c088190a74fb7590877659b completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a2716081909620a9d11cfcc2d8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6018043f48190a3062de4e0d4a3f5 completed May 2, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_69f60232d89881909f254da6deb7f321 completed May 2, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:50 p.m.