Triple

T35761154
Position Surface form Disambiguated ID Type / Status
Subject Mint Hill Veterans Memorial Park E1033573 entity
Predicate ownedBy P347 FINISHED
Object Town of Mint Hill
The Town of Mint Hill is a suburban municipality in Mecklenburg County, North Carolina, known for its residential communities, local parks, and small-town character on the outskirts of Charlotte.
E2153940 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: Town of Mint Hill | Statement: [Mint Hill Veterans Memorial Park, ownedBy, Town of Mint Hill]
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: Town of Mint Hill
Triple: [Mint Hill Veterans Memorial Park, ownedBy, Town of Mint Hill]
Generated description
The Town of Mint Hill is a suburban municipality in Mecklenburg County, North Carolina, known for its residential communities, local parks, and small-town character on the outskirts of Charlotte.

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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c496808190a84be6315eb4c9fa completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885fa49b081909e4a9227938bc7ee completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a38866a9e948190a5aa2f80ee5921c0 completed June 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a3886e8a5fc8190b77589a42dd8bb96 completed June 22, 2026, 12:50 a.m.
Created at: May 3, 2026, 4:06 p.m.