Triple

T38367532

Position	Surface form	Disambiguated ID	Type / Status
Subject	City of Lacey	`E892488`	entity
Predicate	hasPublicSchoolsDistrict	`P85311`	FINISHED
Object	North Thurston Public Schools North Thurston Public Schools is a public school district in Washington State that serves students in and around the city of Lacey.	`E2266285`	NE FINISHED

How this triple was built (3 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: North Thurston Public Schools | Statement: [City of Lacey, hasPublicSchoolsDistrict, North Thurston Public Schools]

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: North Thurston Public Schools
Triple: [City of Lacey, hasPublicSchoolsDistrict, North Thurston Public Schools]

Generated description

North Thurston Public Schools is a public school district in Washington State that serves students in and around the city of Lacey.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasPublicSchoolsDistrict
Context triple: [City of Lacey, hasPublicSchoolsDistrict, North Thurston Public Schools]

A. hasPublicSchoolDistrictCode
Indicates that an entity is associated with a specific public school district identified by a district code.
B. hasSchoolDistricts chosen
Indicates that one entity administers, contains, or is associated with one or more school districts.
C. schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
D. hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
E. hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
F. None of above.

Provenance (6 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_69f76e47cb4c8190bdd92cd1db59c0c5`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69fcf1b3d9a08190850b388308656266`	completed	May 7, 2026, 8:10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41a8051f0c81908544be3589b4df8c`	completed	June 28, 2026, 11:02 p.m.
NEDg	Description generation	`batch_6a41a925216c8190a1aa0ae05d80a4aa`	completed	June 28, 2026, 11:07 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41a9f0b9748190a604e440751cbf67`	completed	June 28, 2026, 11:10 p.m.
PD	Predicate disambiguation	`batch_69fcf0226d8c8190b23dceafb1794995`	completed	May 7, 2026, 8:03 p.m.

Created at: May 3, 2026, 4:31 p.m.