Triple

T5538402
Position Surface form Disambiguated ID Type / Status
Subject Paine E145224 entity
Predicate adminCenter P3892 FINISHED
Object Paine (town)
Paine (town) is a Chilean municipality in the Santiago Metropolitan Region, known for its agricultural production and proximity to the capital city of Santiago.
E528114 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: Paine (town) | Statement: [Paine, adminCenter, Paine (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paine (town)
Context triple: [Paine, adminCenter, Paine (town)]
  • A. Pottageville
    Pottageville is a small rural community in Ontario, Canada, known for its agricultural surroundings and proximity to the Oak Ridges Moraine.
  • B. Pierrepont
    Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
  • C. Pennyville
    Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
  • D. Pawley
    Pawley is a surname and variant spelling of Pauley, borne by various individuals and families.
  • E. Pocasset
    Pocasset is a coastal village on Cape Cod in Massachusetts known for its beaches, marinas, and residential seaside character.
  • 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: Paine (town)
Triple: [Paine, adminCenter, Paine (town)]
Generated description
Paine (town) is a Chilean municipality in the Santiago Metropolitan Region, known for its agricultural production and proximity to the capital city of Santiago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paine (town)
Target entity description: Paine (town) is a Chilean municipality in the Santiago Metropolitan Region, known for its agricultural production and proximity to the capital city of Santiago.
  • A. Pottageville
    Pottageville is a small rural community in Ontario, Canada, known for its agricultural surroundings and proximity to the Oak Ridges Moraine.
  • B. Pierrepont
    Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
  • C. Pennyville
    Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
  • D. Pawley
    Pawley is a surname and variant spelling of Pauley, borne by various individuals and families.
  • E. Pocasset
    Pocasset is a coastal village on Cape Cod in Massachusetts known for its beaches, marinas, and residential seaside character.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb2fe488190808e02ce5aabb2ad completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02817cb04819088df72950c791144 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033df2c7881909660eb931908318c completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034640cd081909b44ff23e9005e57 completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:34 p.m.