Triple

T21785109
Position Surface form Disambiguated ID Type / Status
Subject Heers E537814 entity
Predicate borderedBy P224 FINISHED
Object Geer
Geer is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and location in the Hesbaye region.
E1502637 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: Geer | Statement: [Heers, borderedBy, Geer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geer
Context triple: [Heers, borderedBy, Geer]
  • A. Geer
    Geer is a surname most notably associated with American actress and theatre director Ellen Geer and her family of performers.
  • B. Gemer
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • C. Gery
    Gery is a spelling variant of the given name Gerry, typically used as a personal name.
  • D. Godfried
    Godfried is the given name of Belgian Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • E. Gorell
    Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
  • 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: Geer
Triple: [Heers, borderedBy, Geer]
Generated description
Geer is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and location in the Hesbaye region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geer
Target entity description: Geer is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and location in the Hesbaye region.
  • A. Geer
    Geer is a surname most notably associated with American actress and theatre director Ellen Geer and her family of performers.
  • B. Gemer
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • C. Gery
    Gery is a spelling variant of the given name Gerry, typically used as a personal name.
  • D. Godfried
    Godfried is the given name of Belgian Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • E. Gorell
    Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.