Triple

T15862280
Position Surface form Disambiguated ID Type / Status
Subject Will County E384617 entity
Predicate hasVillage P4011 FINISHED
Object Steger
Steger is a village in the Chicago metropolitan area that spans both Cook and Will counties in northeastern Illinois.
E1180892 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: Steger | Statement: [Will County, hasVillage, Steger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steger
Context triple: [Will County, hasVillage, Steger]
  • A. Styer
    Styer is a party to the landmark U.S. Supreme Court case Yamashita v. Styer, which addressed the legal responsibility of military commanders for war crimes committed by their subordinates.
  • B. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • C. Steyl
    Steyl is a village in the Dutch province of Limburg, known for its historic monasteries and missionary heritage along the River Meuse.
  • D. Steeg
    Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
  • E. Steeg
    Steeg is a small village in the Upper Middle Rhine Valley of Germany, known for its historic winegrowing tradition and picturesque setting near Bacharach.
  • 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: Steger
Triple: [Will County, hasVillage, Steger]
Generated description
Steger is a village in the Chicago metropolitan area that spans both Cook and Will counties in northeastern Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steger
Target entity description: Steger is a village in the Chicago metropolitan area that spans both Cook and Will counties in northeastern Illinois.
  • A. Styer
    Styer is a party to the landmark U.S. Supreme Court case Yamashita v. Styer, which addressed the legal responsibility of military commanders for war crimes committed by their subordinates.
  • B. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • C. Steyl
    Steyl is a village in the Dutch province of Limburg, known for its historic monasteries and missionary heritage along the River Meuse.
  • D. Steeg
    Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
  • E. Steeg
    Steeg is a small village in the Upper Middle Rhine Valley of Germany, known for its historic winegrowing tradition and picturesque setting near Bacharach.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:50 a.m.