Triple

T31524269

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tamarac Middle School	`E804292`	entity
Predicate	hasSchoolDistrictAbbreviation	`P185966`	FINISHED
Object	Brittonkill Brittonkill is the abbreviated name of the school district that serves Tamarac Middle School in New York.	`E1964222`	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: Brittonkill | Statement: [Tamarac Middle School, hasSchoolDistrictAbbreviation, Brittonkill]

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: Brittonkill
Triple: [Tamarac Middle School, hasSchoolDistrictAbbreviation, Brittonkill]

Generated description

Brittonkill is the abbreviated name of the school district that serves Tamarac Middle School in New York.

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

Target predicate: hasSchoolDistrictAbbreviation
Context triple: [Tamarac Middle School, hasSchoolDistrictAbbreviation, Brittonkill]

A. hasSchoolDistricts
Indicates that one entity administers, contains, or is associated with one or more school districts.
B. hasPublicSchoolDistrictCode
Indicates that an entity is associated with a specific public school district identified by a district code.
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. schoolDistrictHeadquartersLocatedIn
Indicates that the administrative headquarters of a school district is located within a specified geographic place.
E. hasHighSchoolSendingDistrict
Indicates that one school district serves as the designated high school destination for students coming from another (typically non-high-school) sending district.
F. None of above. chosen

Provenance (7 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_69f348cf839c81908657048402f7f97b`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_69f7c83f5960819089610ed39c839678`	completed	May 3, 2026, 10:12 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2b1481dea08190a394fda1a07bd98c`	completed	June 11, 2026, 8:03 p.m.
NEDg	Description generation	`batch_6a2b179511c4819083cd452b8c5badde`	completed	June 11, 2026, 8:16 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2b17efe7a88190b707bf2a146107b8`	completed	June 11, 2026, 8:17 p.m.
PD	Predicate disambiguation	`batch_69f7c475c58c8190a883554231e88c88`	completed	May 3, 2026, 9:56 p.m.
PDg	Predicate description generation	`batch_69f7c776b4088190bef550c869da530d`	completed	May 3, 2026, 10:08 p.m.

Created at: April 30, 2026, 9:57 p.m.