Triple

T12085012
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin Lutheran Seminary E287783 entity
Predicate abbreviation P43 FINISHED
Object WLS
WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
 E967494 NE FINISHED

How this triple was built (4 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: WLS | Statement: [Wisconsin Lutheran Seminary, abbreviation, WLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WLS
Context triple: [Wisconsin Lutheran Seminary, abbreviation, WLS]
  • A. WLS-FM
    WLS-FM is a Chicago-based commercial radio station known for its classic hits format and shared heritage with the historic WLS brand.
  • B. WLS-TV
    WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
  • C. WLS (AM)
    WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
  • D. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • E. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WLS
Triple: [Wisconsin Lutheran Seminary, abbreviation, WLS]
Generated description
WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WLS
Target entity description: WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
  • A. WLS-FM
    WLS-FM is a Chicago-based commercial radio station known for its classic hits format and shared heritage with the historic WLS brand.
  • B. WLS-TV
    WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
  • C. WLS (AM)
    WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
  • D. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • E. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • F. None of above. chosen

Provenance (5 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91513bbb0819084a8bb877e03060c completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f666bf1c819089de1235617e775b completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f60335285c819089f69472b2e48130 completed May 2, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f60410ce0481908b2deb7522a3ec00 completed May 2, 2026, 2:02 p.m.
Created at: April 8, 2026, 9:48 p.m.