Triple

T35710589
Position Surface form Disambiguated ID Type / Status
Subject Pittsford, New York E1031843 entity
Predicate hasCanalSideArea P27851 FINISHED
Object Schoen Place
Schoen Place is a popular waterfront district in Pittsford, New York, known for its shops, restaurants, and scenic views along the Erie Canal.
 E2152636 NE FINISHED

How this triple was built (3 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: Schoen Place | Statement: [Pittsford, New York, hasCanalSideArea, Schoen Place]
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: Schoen Place
Triple: [Pittsford, New York, hasCanalSideArea, Schoen Place]
Generated description
Schoen Place is a popular waterfront district in Pittsford, New York, known for its shops, restaurants, and scenic views along the Erie Canal.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCanalSideArea
Context triple: [Pittsford, New York, hasCanalSideArea, Schoen Place]
  • A. hasSideWalls
    Indicates that an object or structure possesses side walls as part of its physical configuration.
  • B. hasAdjacentCanal chosen
    Indicates that one entity is directly next to or alongside a canal.
  • C. hasASideOf
    Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
  • D. hasStandingArea
    Indicates that an entity includes or provides a designated area where people can stand.
  • E. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • F. None of above.

Provenance (6 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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffa5f31c8881908c26e2aa52df6ece completed May 9, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d10645481908dd97e6254aa9f63 completed June 22, 2026, 12:08 a.m.
NEDg Description generation batch_6a387da3cca88190871b690e2ee62c9e completed June 22, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_6a387e3b94cc8190bfc6b69d756793fb completed June 22, 2026, 12:13 a.m.
PD Predicate disambiguation batch_69ffa42aee408190ad1a5f285688b338 completed May 9, 2026, 9:16 p.m.
Created at: May 3, 2026, 4:05 p.m.