Triple

T5687166
Position Surface form Disambiguated ID Type / Status
Subject Temiskaming Shores E125340 entity
Predicate hasNeighbouringCommunity P4647 FINISHED
Object Earlton
Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
 E541728 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: Earlton | Statement: [Temiskaming Shores, hasNeighbouringCommunity, Earlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Earlton
Context triple: [Temiskaming Shores, hasNeighbouringCommunity, Earlton]
  • A. Earlestown
    Earlestown is a town in Merseyside, England, historically known for its railway and industrial heritage.
  • B. Haughton
    Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
  • C. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • D. Nordend
    Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
  • E. Owerton
    Owerton is an alternative spelling of the name Overton, which is used for various places and surnames in English-speaking regions.
  • 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: Earlton
Triple: [Temiskaming Shores, hasNeighbouringCommunity, Earlton]
Generated description
Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Earlton
Target entity description: Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
  • A. Earlestown
    Earlestown is a town in Merseyside, England, historically known for its railway and industrial heritage.
  • B. Haughton
    Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
  • C. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • D. Nordend
    Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
  • E. Owerton
    Owerton is an alternative spelling of the name Overton, which is used for various places and surnames in English-speaking regions.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023bbfb988190bb61c7d183660d5d completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a43cce88190b8ac801018f05561 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05d24fdf481908cfa9c485cd9a9f3 completed March 22, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69c05dc3d3cc8190a6bb775b06136972 completed March 22, 2026, 9:23 p.m.
Created at: March 22, 2026, 3:44 p.m.