Triple

T18737355
Position Surface form Disambiguated ID Type / Status
Subject Lamar County, Texas E458199 entity
Predicate hasMajorHighway P385 FINISHED
Object Loop 286
Loop 286 is a state highway loop that serves as a beltway around the city of Paris in Lamar County, Texas.
E1340856 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: Loop 286 | Statement: [Lamar County, Texas, hasMajorHighway, Loop 286]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop 286
Context triple: [Lamar County, Texas, hasMajorHighway, Loop 286]
  • A. Loop 820
    Loop 820 is a major beltway highway encircling much of the Fort Worth, Texas metropolitan area, serving as a key route for regional traffic and suburban access.
  • B. Loop 336
    Loop 336 is a major circumferential roadway that serves as a key traffic artery around the city of Conroe, Texas.
  • C. Loop 323
    Loop 323 is a primary circumferential highway that serves as the main loop route around the city of Tyler, Texas.
  • D. Loop 1604
    Loop 1604 is a major highway encircling much of San Antonio, Texas, serving as a key route for regional traffic and access to suburban districts and commercial areas.
  • E. Loop 303
    Loop 303 is a major freeway in the Phoenix metropolitan area that serves as part of the region’s outer beltway system, facilitating circumferential travel and suburban growth.
  • 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: Loop 286
Triple: [Lamar County, Texas, hasMajorHighway, Loop 286]
Generated description
Loop 286 is a state highway loop that serves as a beltway around the city of Paris in Lamar County, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loop 286
Target entity description: Loop 286 is a state highway loop that serves as a beltway around the city of Paris in Lamar County, Texas.
  • A. Loop 820
    Loop 820 is a major beltway highway encircling much of the Fort Worth, Texas metropolitan area, serving as a key route for regional traffic and suburban access.
  • B. Loop 336
    Loop 336 is a major circumferential roadway that serves as a key traffic artery around the city of Conroe, Texas.
  • C. Loop 323
    Loop 323 is a primary circumferential highway that serves as the main loop route around the city of Tyler, Texas.
  • D. Loop 1604
    Loop 1604 is a major highway encircling much of San Antonio, Texas, serving as a key route for regional traffic and access to suburban districts and commercial areas.
  • E. Loop 303
    Loop 303 is a major freeway in the Phoenix metropolitan area that serves as part of the region’s outer beltway system, facilitating circumferential travel and suburban growth.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053261c074819081acb03dd7f8f62a completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05369aa0488190b05cb5d1204db6d3 completed May 14, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a053766f7b48190b3b01ee99b22f57d completed May 14, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:51 a.m.