Triple

T9028294
Position Surface form Disambiguated ID Type / Status
Subject Testudo E216101 entity
Predicate category P87 FINISHED
Object Terrapins E481472 NE FINISHED

How this triple was built (2 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: Terrapins | Statement: [Testudo, category, Terrapins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrapins
Context triple: [Testudo, category, Terrapins]
  • A. Terrapins chosen
    Terrapins is the nickname for the University of Maryland’s athletic teams, especially its football team.
  • B. Patos
    Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
  • C. Turtle
    Turtle is a laid-back, loyal friend and driver in the TV series "Entourage," known for his comic relief and eventual growth into a more ambitious, entrepreneurial character.
  • D. Ducks
    Ducks is the nickname for the University of Oregon’s athletic teams, most prominently its college football program.
  • E. Ducks
    Ducks are a type of waterfowl known for their webbed feet, broad bills, and frequent presence in ponds, lakes, and wetlands worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7fcb308190af90d6be8700e498 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:08 p.m.