Triple

T7973620
Position Surface form Disambiguated ID Type / Status
Subject Rice Lake E185386 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Keene
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
E702614 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: Keene | Statement: [Rice Lake, hasNearbySettlement, Keene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keene
Context triple: [Rice Lake, hasNearbySettlement, Keene]
  • A. Keene
    Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
  • B. Keene, New York
    Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
  • C. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • D. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • E. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • 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: Keene
Triple: [Rice Lake, hasNearbySettlement, Keene]
Generated description
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keene
Target entity description: Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
  • A. Keene
    Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
  • B. Keene, New York
    Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
  • C. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • D. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • E. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0bb089881909d3ec17a3330ce25 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43c4d2081909a8f5763252d88f1 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc193e73cc819085797ef363a37079 completed March 31, 2026, 6:58 p.m.
Created at: March 30, 2026, 5:13 p.m.