Triple

T25101305
Position Surface form Disambiguated ID Type / Status
Subject Yazoo City, Mississippi E628729 entity
Predicate hasSchoolDistrict P226 FINISHED
Object Yazoo City Municipal School District
Yazoo City Municipal School District is the public school system serving students in Yazoo City, Mississippi.
E1663261 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: Yazoo City Municipal School District | Statement: [Yazoo City, Mississippi, hasSchoolDistrict, Yazoo City Municipal School District]
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: Yazoo City Municipal School District
Triple: [Yazoo City, Mississippi, hasSchoolDistrict, Yazoo City Municipal School District]
Generated description
Yazoo City Municipal School District is the public school system serving students in Yazoo City, Mississippi.

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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464bd4d7081909fc0db6b8bf897b9 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048f02a308190adf7e34caf827666 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a6df4208190b8fa9647b516b7fc completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c2d8308819097b21b979944585e completed May 22, 2026, 12:29 p.m.
Created at: April 18, 2026, 6:25 a.m.