Triple

T38486511
Position Surface form Disambiguated ID Type / Status
Subject Colonial Circle E917930 entity
Predicate isPartOfUrbanPlanBy P14107 FINISHED
Object Frederick Law Olmsted and Calvert Vaux
Frederick Law Olmsted and Calvert Vaux were influential 19th-century landscape architects best known for co-designing major urban parks such as New York City's Central Park.
E2274334 NE FINISHED

How this triple was built (2 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: Frederick Law Olmsted and Calvert Vaux | Statement: [Colonial Circle, isPartOfUrbanPlanBy, Frederick Law Olmsted and Calvert Vaux]
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: Frederick Law Olmsted and Calvert Vaux
Triple: [Colonial Circle, isPartOfUrbanPlanBy, Frederick Law Olmsted and Calvert Vaux]
Generated description
Frederick Law Olmsted and Calvert Vaux were influential 19th-century landscape architects best known for co-designing major urban parks such as New York City's Central Park.

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_69f76e9894208190a129a553a60ca58c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd22706188190a5e6229ab881d928 completed May 7, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e01e18388190a42a11337a0fafcc completed June 29, 2026, 3:01 a.m.
NEDg Description generation batch_6a41e0dc929c8190ba87f8433ad2f9a4 completed June 29, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a41e1631740819093f8e3d82b8f8ac3 completed June 29, 2026, 3:07 a.m.
Created at: May 3, 2026, 4:31 p.m.