Triple

T33883046
Position Surface form Disambiguated ID Type / Status
Subject Green Oak Township, Michigan E868546 entity
Predicate hasShoppingCenter P1495 FINISHED
Object Green Oak Village Place
Green Oak Village Place is an open-air shopping and lifestyle center featuring a mix of retail stores, dining, and services in Green Oak Township, Michigan.
E2070979 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: Green Oak Village Place | Statement: [Green Oak Township, Michigan, hasShoppingCenter, Green Oak Village Place]
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: Green Oak Village Place
Triple: [Green Oak Township, Michigan, hasShoppingCenter, Green Oak Village Place]
Generated description
Green Oak Village Place is an open-air shopping and lifestyle center featuring a mix of retail stores, dining, and services in Green Oak Township, Michigan.

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_69f34995b81c8190acdb45cea5a10eff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7010c66f0819091bcb107aa41a1e4 completed May 3, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3676303d548190a5e05694aad8cf1f completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676e5580481909e03b3dd56759d5b completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a36777b4a148190acef5b6319f329a6 completed June 20, 2026, 11:20 a.m.
Created at: May 1, 2026, 1:48 a.m.