Triple

T24902011
Position Surface form Disambiguated ID Type / Status
Subject Madison Square E623603 entity
Predicate streetBounding P108932 FINISHED
Object East Charlton Street
East Charlton Street is a street in Savannah, Georgia’s historic district, known for its proximity to Madison Square and its characteristic 19th-century architecture.
 E1777599 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: East Charlton Street | Statement: [Madison Square, streetBounding, East Charlton Street]
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: East Charlton Street
Triple: [Madison Square, streetBounding, East Charlton Street]
Generated description
East Charlton Street is a street in Savannah, Georgia’s historic district, known for its proximity to Madison Square and its characteristic 19th-century architecture.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: streetBounding
Context triple: [Madison Square, streetBounding, East Charlton Street]
  • A. hasRoadBoundary
    Indicates that a road segment is associated with a specific boundary or edge that defines its lateral limits.
  • B. fareBoundaryBetween
    Indicates that there is a dividing line or zone where one fare region, zone, or pricing scheme ends and another begins.
  • C. geographicBoundary chosen
    Indicates that one entity serves as a limiting border or edge that defines the geographic extent or separation of another entity.
  • D. borderingLocalGovernmentArea
    Indicates that one local government area shares a common boundary with another local government area.
  • E. streetGridRange
    Indicates the span or extent of a street segment within a defined grid or block range in a street network.
  • 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12c57bfa248190857d7f5360b8ccf7 completed May 24, 2026, 9:31 a.m.
NEDg Description generation batch_6a12c6f592908190a6925a9c563dfdb0 completed May 24, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a12c7a235f08190909cbd31986349d4 completed May 24, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 5:27 a.m.