Triple

T3901812
Position Surface form Disambiguated ID Type / Status
Subject Wamego High School E90510 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 High School, city, Wamego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamego
Context triple: [Wamego High School, 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. 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.
  • E. Waynoka
    Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecf481648190b70b7acd9c1cf687 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337f3ae08190ba68fc20a3ba4692 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:21 p.m.