Triple

T10686904
Position Surface form Disambiguated ID Type / Status
Subject Tioga, Texas E251900 entity
Predicate abbreviation P43 FINISHED
Object Tioga
Tioga is a small town in Grayson County, Texas, known for its rural character and tight-knit community.
E879072 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: Tioga | Statement: [Tioga, Texas, abbreviation, Tioga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tioga
Context triple: [Tioga, Texas, abbreviation, Tioga]
  • A. Tioga
    Tioga is a town in Tioga County, New York, known for its rural character and location in the Southern Tier region of the state.
  • B. Camischolas
    Camischolas is a small village in the Swiss canton of Graubünden, situated within the municipality of Sumvitg in the Surselva region.
  • C. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • D. Giant Mountain
    Giant Mountain is a prominent peak in New York’s Adirondack High Peaks, known for its steep trails and expansive views over the surrounding wilderness.
  • E. Sawtooth
    Sawtooth is the internal codename for the efficiency (little) CPU cores used in Apple’s A16 Bionic chip.
  • 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: Tioga
Triple: [Tioga, Texas, abbreviation, Tioga]
Generated description
Tioga is a small town in Grayson County, Texas, known for its rural character and tight-knit community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tioga
Target entity description: Tioga is a small town in Grayson County, Texas, known for its rural character and tight-knit community.
  • A. Tioga
    Tioga is a town in Tioga County, New York, known for its rural character and location in the Southern Tier region of the state.
  • B. Camischolas
    Camischolas is a small village in the Swiss canton of Graubünden, situated within the municipality of Sumvitg in the Surselva region.
  • C. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • D. Giant Mountain
    Giant Mountain is a prominent peak in New York’s Adirondack High Peaks, known for its steep trails and expansive views over the surrounding wilderness.
  • E. Sawtooth
    Sawtooth is the internal codename for the efficiency (little) CPU cores used in Apple’s A16 Bionic chip.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd192220819088eff88148376266 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98894cea48190877a015dcb645bee completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.