Triple

T3628092
Position Surface form Disambiguated ID Type / Status
Subject McLennan County E76887 entity
Predicate contains P35 FINISHED
Object Ross, Texas
Ross, Texas is a small rural city located in central Texas within the Waco metropolitan area.
E482343 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: Ross, Texas | Statement: [McLennan County, contains, Ross, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross, Texas
Context triple: [McLennan County, contains, Ross, Texas]
  • A. Rosser, Texas
    Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • B. Rosenberg, Texas
    Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
  • C. Rosharon, Texas
    Rosharon, Texas is a small unincorporated community in Brazoria County that functions as an exurban area within the greater Houston metropolitan region.
  • D. Rhome, Texas
    Rhome, Texas is a small city in North Texas that serves as a rural community within the Dallas–Fort Worth metropolitan area.
  • E. Del Rio, Texas
    Del Rio, Texas is a border city in southwest Texas along the Rio Grande, known as a regional hub for trade, law enforcement, and federal government activity.
  • 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: Ross, Texas
Triple: [McLennan County, contains, Ross, Texas]
Generated description
Ross, Texas is a small rural city located in central Texas within the Waco metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ross, Texas
Target entity description: Ross, Texas is a small rural city located in central Texas within the Waco metropolitan area.
  • A. Rosser, Texas
    Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • B. Rosenberg, Texas
    Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
  • C. Rosharon, Texas
    Rosharon, Texas is a small unincorporated community in Brazoria County that functions as an exurban area within the greater Houston metropolitan region.
  • D. Rhome, Texas
    Rhome, Texas is a small city in North Texas that serves as a rural community within the Dallas–Fort Worth metropolitan area.
  • E. Del Rio, Texas
    Del Rio, Texas is a border city in southwest Texas along the Rio Grande, known as a regional hub for trade, law enforcement, and federal government activity.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2ddccc881909ae13dca3dd8a11d completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8195518081908f4938032218e118 completed March 21, 2026, 11:31 a.m.
NEDg Description generation batch_69be840882a081909e320c76d41219cc completed March 21, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_69be8464bb00819086a70be3a5746d7c completed March 21, 2026, 11:43 a.m.
Created at: March 8, 2026, 3:23 p.m.