Triple

T36782900
Position Surface form Disambiguated ID Type / Status
Subject West High School (Salt Lake City) E908821 entity
Predicate partOf P40 FINISHED
Object Salt Lake City School District
Salt Lake City School District is a public school district serving students in Salt Lake City, Utah, operating multiple elementary, middle, and high schools across the city.
E2198747 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: Salt Lake City School District | Statement: [West High School (Salt Lake City), partOf, Salt Lake City 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: Salt Lake City School District
Triple: [West High School (Salt Lake City), partOf, Salt Lake City School District]
Generated description
Salt Lake City School District is a public school district serving students in Salt Lake City, Utah, operating multiple elementary, middle, and high schools across the city.

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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f823ec819086c46cb2fe0a1b34 completed May 3, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d17a14084819097f1a7b036a3c9fd completed June 25, 2026, 11:57 a.m.
NEDg Description generation batch_6a3d2302db008190b766899a647349fa completed June 25, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3d7a63e83c81909a6175209e0a60df completed June 25, 2026, 6:58 p.m.
Created at: May 3, 2026, 4:12 p.m.