Triple

T22342618
Position Surface form Disambiguated ID Type / Status
Subject Fairlie-Poplar Historic District E552311 entity
Predicate street P959 FINISHED
Object Poplar Street
Poplar Street is a historic thoroughfare in downtown Atlanta, Georgia, forming part of the Fairlie-Poplar Historic District known for its early 20th-century commercial architecture.
 E1646147 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: Poplar Street | Statement: [Fairlie-Poplar Historic District, street, Poplar 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: Poplar Street
Triple: [Fairlie-Poplar Historic District, street, Poplar Street]
Generated description
Poplar Street is a historic thoroughfare in downtown Atlanta, Georgia, forming part of the Fairlie-Poplar Historic District known for its early 20th-century commercial 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15795b2a881908d6cb8f97443ca17 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100fc486c48190b42494cf2a047264 completed May 22, 2026, 8:11 a.m.
NEDg Description generation batch_6a10136871588190b4e4b4618ab7a400 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10141161b08190b471a7882a4d8aa0 completed May 22, 2026, 8:30 a.m.
Created at: April 16, 2026, 8:43 p.m.