Triple

T31067671
Position Surface form Disambiguated ID Type / Status
Subject Crystal Springs, Mississippi E791720 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Gallman, Mississippi
Gallman, Mississippi is a small unincorporated community in Copiah County known for its rural character and proximity to Crystal Springs.
 E2223261 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: Gallman, Mississippi | Statement: [Crystal Springs, Mississippi, hasNearbyCommunity, Gallman, Mississippi]
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: Gallman, Mississippi
Triple: [Crystal Springs, Mississippi, hasNearbyCommunity, Gallman, Mississippi]
Generated description
Gallman, Mississippi is a small unincorporated community in Copiah County known for its rural character and proximity to Crystal Springs.

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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6957c0ca08190b0d521a93f81021a completed May 3, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a406cb47048819096c51142ec6deee5 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406db565b881909769124848e2b508 completed June 28, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a406e2e5e00819097b90719f08951c8 completed June 28, 2026, 12:43 a.m.
Created at: April 29, 2026, 9:01 p.m.