Triple

T24835373
Position Surface form Disambiguated ID Type / Status
Subject Wright Square E621455 entity
Predicate hasStreetBoundary P6131 FINISHED
Object East York Street
East York Street is a historic thoroughfare in downtown Savannah, Georgia, running through the city’s grid of squares and lined with notable 18th- and 19th-century architecture.
 E2246276 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: East York Street | Statement: [Wright Square, hasStreetBoundary, East York 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 York Street
Triple: [Wright Square, hasStreetBoundary, East York Street]
Generated description
East York Street is a historic thoroughfare in downtown Savannah, Georgia, running through the city’s grid of squares and lined with notable 18th- and 19th-century architecture.

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_69e2fac185d48190a0a6073ad1f6b792 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422b664008190b4f2b6b7e001a4ee completed May 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4103fc6b2481908d85a6d286b90923 completed June 28, 2026, 11:22 a.m.
NEDg Description generation batch_6a4104c79fb0819084b62acaa5ae7237 completed June 28, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a41059ef42c81909a94722a1563fcd1 completed June 28, 2026, 11:29 a.m.
Created at: April 18, 2026, 5:17 a.m.