Triple

T33889112
Position Surface form Disambiguated ID Type / Status
Subject Savannah City Hall E868708 entity
Predicate locatedOn P40 FINISHED
Object Bay Street
Bay Street is a major historic thoroughfare in Savannah, Georgia, known for running along the Savannah River and bordering the city’s landmark riverfront district.
 E1660845 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: Bay Street | Statement: [Savannah City Hall, locatedOn, Bay 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: Bay Street
Triple: [Savannah City Hall, locatedOn, Bay Street]
Generated description
Bay Street is a major historic thoroughfare in Savannah, Georgia, known for running along the Savannah River and bordering the city’s landmark riverfront district.

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_69f34996761c8190864e42f7c9cf215b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701438ec08190bbf64924ab6f0d5a completed May 3, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36763426308190b94a76586e2208f7 completed June 20, 2026, 11:15 a.m.
NEDg Description generation batch_6a3676a116cc81909ee883bc32fb5035 completed June 20, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_6a36772ae3308190849be7395a7adcde completed June 20, 2026, 11:19 a.m.
Created at: May 1, 2026, 1:48 a.m.