Triple

T25962132
Position Surface form Disambiguated ID Type / Status
Subject Mississippi Highway 178 E645567 entity
Predicate passesThrough P225 FINISHED
Object Booneville, Mississippi
Booneville, Mississippi is a small city in northeastern Mississippi that serves as the county seat of Prentiss County and a regional hub for education, commerce, and transportation.
E1983699 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: Booneville, Mississippi | Statement: [Mississippi Highway 178, passesThrough, Booneville, 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: Booneville, Mississippi
Triple: [Mississippi Highway 178, passesThrough, Booneville, Mississippi]
Generated description
Booneville, Mississippi is a small city in northeastern Mississippi that serves as the county seat of Prentiss County and a regional hub for education, commerce, and transportation.

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_69e77e85efc08190997da7fcf98bd300 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f604c70f208190a8154d17108e47d9 completed May 2, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a08b790819098ebe9286e5ab111 completed June 14, 2026, 11:01 a.m.
NEDg Description generation batch_6a2e8ad753688190829398ff32cf09e8 completed June 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8b9c48a48190a1c5bef0fe49f633 completed June 14, 2026, 11:08 a.m.
Created at: April 22, 2026, 8:47 a.m.