Triple

T5120498
Position Surface form Disambiguated ID Type / Status
Subject Wamego City Park E115449 entity
Predicate city P40 FINISHED
Object Wamego E398633 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: Wamego | Statement: [Wamego City Park, city, Wamego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamego
Context triple: [Wamego City Park, city, Wamego]
  • A. Wamego chosen
    Wamego is a small Kansas city known for its strong connection to The Wizard of Oz, including themed attractions and annual celebrations.
  • B. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • C. Quixadá
    Quixadá is a municipality in northeastern Brazil known for its distinctive rocky monoliths and adventure tourism, particularly rock climbing and hang gliding.
  • D. Cíbola
    Cíbola is the legendary “Seven Cities of Gold” sought by Spanish explorers in the 16th century in what is now the American Southwest.
  • E. Acamas
    Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78015ad88190a3e51da494c19e30 completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4b0578c819081ad7554bafafe49 completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.