Triple

T23872606
Position Surface form Disambiguated ID Type / Status
Subject St. Joseph County, Michigan E592767 entity
Predicate hasCountySeat P383 FINISHED
Object Centreville, Michigan
Centreville, Michigan is a small village in southwestern Michigan known for its historic courthouse and role as the administrative center of St. Joseph County.
E2138046 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: Centreville, Michigan | Statement: [St. Joseph County, Michigan, hasCountySeat, Centreville, Michigan]
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: Centreville, Michigan
Triple: [St. Joseph County, Michigan, hasCountySeat, Centreville, Michigan]
Generated description
Centreville, Michigan is a small village in southwestern Michigan known for its historic courthouse and role as the administrative center of St. Joseph County.

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_69e25d23a5c88190ae3999c70ca15e08 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cbfed81881909905f71377f759b1 completed April 29, 2026, 9:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a382c92bd8c8190bb4fdd30e5a237da completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d58e2b48190a1070bedf3aa5fff completed June 21, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_6a382e1126c08190a95eb6f5b9cfee70 completed June 21, 2026, 6:31 p.m.
Created at: April 17, 2026, 8:14 p.m.