Triple

T15159524
Position Surface form Disambiguated ID Type / Status
Subject Gray County E362169 entity
Predicate contains P35 FINISHED
Object Lefors
Lefors is a small town in the Texas Panhandle known historically as a local ranching and oil community.
E1140753 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: Lefors | Statement: [Gray County, contains, Lefors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lefors
Context triple: [Gray County, contains, Lefors]
  • A. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • B. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • C. Lindfors
    Lindfors is a Swedish-origin surname borne by various notable individuals in the arts, sports, and public life.
  • D. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • E. Loreak
    Loreak is a critically acclaimed 2014 Basque-language drama film that explores grief and human connection through the mysterious appearance of anonymous flower bouquets.
  • 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: Lefors
Triple: [Gray County, contains, Lefors]
Generated description
Lefors is a small town in the Texas Panhandle known historically as a local ranching and oil community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lefors
Target entity description: Lefors is a small town in the Texas Panhandle known historically as a local ranching and oil community.
  • A. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • B. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • C. Lindfors
    Lindfors is a Swedish-origin surname borne by various notable individuals in the arts, sports, and public life.
  • D. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • E. Loreak
    Loreak is a critically acclaimed 2014 Basque-language drama film that explores grief and human connection through the mysterious appearance of anonymous flower bouquets.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffaa4b88190aab36fdae057e6d2 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec23c83ac819087633c0f64e50506 completed May 9, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69fec2f95a408190850e4d81839822ba completed May 9, 2026, 5:15 a.m.
Created at: April 10, 2026, 3:08 a.m.