Triple

T19725090
Position Surface form Disambiguated ID Type / Status
Subject Hoos E473704 entity
Predicate relatedTerm P37 FINISHED
Object Wahoowa
Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
E1392143 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: Wahoowa | Statement: [Hoos, relatedTerm, Wahoowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wahoowa
Context triple: [Hoos, relatedTerm, Wahoowa]
  • A. Walewale
    Walewale is a town in northern Ghana that serves as a key local commercial and administrative center.
  • B. Wellawaya
    Wellawaya is a town in Sri Lanka’s Uva Province known as a gateway to nearby waterfalls, national parks, and scenic hill country landscapes.
  • C. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • D. Wee Waa
    Wee Waa is a small rural town in north-western New South Wales, Australia, known historically as an important cotton-growing and agricultural centre.
  • E. Waiyevo
    Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
  • 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: Wahoowa
Triple: [Hoos, relatedTerm, Wahoowa]
Generated description
Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wahoowa
Target entity description: Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
  • A. Walewale
    Walewale is a town in northern Ghana that serves as a key local commercial and administrative center.
  • B. Wellawaya
    Wellawaya is a town in Sri Lanka’s Uva Province known as a gateway to nearby waterfalls, national parks, and scenic hill country landscapes.
  • C. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • D. Wee Waa
    Wee Waa is a small rural town in north-western New South Wales, Australia, known historically as an important cotton-growing and agricultural centre.
  • E. Waiyevo
    Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f70bac8190823cb3dfbd085a99 completed April 20, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4ee6b24819080a73814f45b76b3 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5e9961881908f224154ec12c366 completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b67b11e48190bb841f2f4f1e784c completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:46 p.m.