Triple

T17561006
Position Surface form Disambiguated ID Type / Status
Subject GeoServer E427695 entity
Predicate supportsStandard P1587 FINISHED
Object WPS NE NERFINISHED

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: WPS | Statement: [GeoServer, supportsStandard, WPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WPS
Context triple: [GeoServer, supportsStandard, WPS]
  • A. WPS
    WPS was a top-tier professional women’s soccer league in the United States that operated from 2009 to 2012.
  • B. WPS chosen
    WPS (Wi-Fi Protected Setup) is a wireless network security standard designed to simplify the process of connecting devices to a Wi-Fi network, but it is widely known for serious security vulnerabilities that make it susceptible to brute-force attacks.
  • C. WPS
    WPS is the commonly used abbreviation for Wahoo Public Schools, a public school district serving the Wahoo, Nebraska community.
  • D. Excello
    Excello is a small unincorporated community located in Macon County, Missouri, in the United States.
  • E. Naver Office
    Naver Office is Naver’s cloud-based productivity suite offering online tools for creating and editing documents, spreadsheets, and presentations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.