Triple

T31525746
Position Surface form Disambiguated ID Type / Status
Subject Toco Hills commercial area E804336 entity
Predicate hasPart P35 FINISHED
Object Toco Hill Shopping Center
Toco Hill Shopping Center is a neighborhood retail hub in the Toco Hills area of Atlanta, known for its mix of grocery stores, restaurants, and local shops serving the surrounding community.
E1964268 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: Toco Hill Shopping Center | Statement: [Toco Hills commercial area, hasPart, Toco Hill Shopping Center]
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: Toco Hill Shopping Center
Triple: [Toco Hills commercial area, hasPart, Toco Hill Shopping Center]
Generated description
Toco Hill Shopping Center is a neighborhood retail hub in the Toco Hills area of Atlanta, known for its mix of grocery stores, restaurants, and local shops serving the surrounding community.

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_69f348cf839c81908657048402f7f97b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a760c26881909d82242e92330017 completed May 3, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b1481dea08190a394fda1a07bd98c completed June 11, 2026, 8:03 p.m.
NEDg Description generation batch_6a2b179511c4819083cd452b8c5badde completed June 11, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2b17efe7a88190b707bf2a146107b8 completed June 11, 2026, 8:17 p.m.
Created at: April 30, 2026, 9:58 p.m.