Triple

T1859081
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Oklahoma E41772 entity
Predicate contains P35 FINISHED
Object Alva
Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
E213010 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: Alva | Statement: [Northwestern Oklahoma, contains, Alva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alva
Context triple: [Northwestern Oklahoma, contains, Alva]
  • A. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • B. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • C. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Alba
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • 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: Alva
Triple: [Northwestern Oklahoma, contains, Alva]
Generated description
Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alva
Target entity description: Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
  • A. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • B. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • C. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Alba
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0829f1481908d2b389d20827417 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaddc9188190bd49d6605fd0e812 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb5118608190be99a12b7f6b97c5 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec25a87081908f098df81de6eafb completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:33 p.m.