Triple

T4116297
Position Surface form Disambiguated ID Type / Status
Subject Franz Boas E90299 entity
Predicate placeOfBirth P1 FINISHED
Object Minden E177242 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: Minden | Statement: [Franz Boas, placeOfBirth, Minden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minden
Context triple: [Franz Boas, placeOfBirth, Minden]
  • A. Minden chosen
    Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
  • B. Minden, Iowa
    Minden, Iowa is a small rural city located in western Iowa within Pottawattamie County.
  • C. Minden, Nevada
    Minden, Nevada is a small unincorporated town in western Nevada known as a historic community in the Carson Valley near the Sierra Nevada.
  • D. Meridian
    Meridian is a rapidly growing suburban city in southwestern Idaho, known for its family-friendly neighborhoods and proximity to Boise.
  • E. Meridian
    Meridian is a 1976 novel by Alice Walker that explores the civil rights movement through the life of a young Black woman activist in the American South.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f1e2e08190a6b73d7674c34e88 completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b90054081908a51c366c6fe51d7 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.