Triple

T37604699

Position	Surface form	Disambiguated ID	Type / Status
Subject	National Historic Landmarks in Ohio	`E935614`	entity
Predicate	relatedStateAgency	`P58245`	FINISHED
Object	Ohio State Historic Preservation Office The Ohio State Historic Preservation Office is the state agency responsible for identifying, documenting, and protecting Ohio’s historic and archaeological resources, including National Historic Landmarks.	`E2234123`	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: Ohio State Historic Preservation Office | Statement: [National Historic Landmarks in Ohio, relatedStateAgency, Ohio State Historic Preservation Office]

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: Ohio State Historic Preservation Office
Triple: [National Historic Landmarks in Ohio, relatedStateAgency, Ohio State Historic Preservation Office]

Generated description

The Ohio State Historic Preservation Office is the state agency responsible for identifying, documenting, and protecting Ohio’s historic and archaeological resources, including National Historic Landmarks.

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

Target predicate: relatedStateAgency
Context triple: [National Historic Landmarks in Ohio, relatedStateAgency, Ohio State Historic Preservation Office]

A. stateAgencyOf chosen
Indicates that one entity is a governmental agency that operates under the authority or jurisdiction of a particular state.
B. provinceAgency
Indicates that one entity functions as an official agency or administrative body operating at the provincial level in relation to another entity.
C. countryAgency
Indicates that a particular agency is officially associated with, operates within, or is governed by a specific country.
D. governingStateAssociation
Indicates a relationship where one entity serves as the governing state or authority responsible for overseeing, regulating, or administering another entity.
E. relationshipToStateLaw
Indicates how something is connected or subject to the provisions, requirements, or authority of a particular state law.
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_69f76ed0a85481909254a8a89090c826`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_6a037c8efcd4819088c2aeead65d93df`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40a8085c888190b9954550ea625cc8`	completed	June 28, 2026, 4:50 a.m.
NEDg	Description generation	`batch_6a40a8d3abd881908651ced357bc36ec`	completed	June 28, 2026, 4:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40a970bc8c81909713a1cea994881b`	completed	June 28, 2026, 4:56 a.m.
PD	Predicate disambiguation	`batch_6a037a1553e08190bb7424c448cb1f33`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:18 p.m.