Triple

T35800468

Position	Surface form	Disambiguated ID	Type / Status
Subject	Amtrak routes	`E1034959`	entity
Predicate	typicalEndpointsInclude	`P148404`	FINISHED
Object	Boston Boston is a major historic and cultural city in the northeastern United States, serving as a key economic, educational, and transportation hub in New England.	`E906091`	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: Boston | Statement: [Amtrak routes, typicalEndpointsInclude, Boston]

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: Boston
Triple: [Amtrak routes, typicalEndpointsInclude, Boston]

Generated description

Boston is a major historic and cultural city in the northeastern United States, serving as a key economic, educational, and transportation hub in New England.

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

Target predicate: typicalEndpointsInclude
Context triple: [Amtrak routes, typicalEndpointsInclude, Boston]

A. typicalEndpoint chosen
Indicates that something represents the standard or commonly used endpoint associated with another entity or process.
B. endpointInclusion
Indicates that one endpoint is contained within or is part of another endpoint or endpoint set.
C. usesEndpoint
Indicates that one entity accesses or interacts with a specific endpoint to perform an operation or exchange data.
D. typicalPositionsInclude
Indicates that certain positions or roles are commonly or characteristically included within something (such as an organization, structure, or context).
E. endPoint
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
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_69f76e169bd081909f16cd8c9ee7870c`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_6a037ce70f54819082946dad8d380825`	completed	May 12, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38a4dba2c48190b6c8ef5a63a5c9c7`	completed	June 22, 2026, 2:58 a.m.
NEDg	Description generation	`batch_6a38a5618be48190893b3e8202847748`	completed	June 22, 2026, 3 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38a5fa291c81909955855947ef19d5`	completed	June 22, 2026, 3:03 a.m.
PD	Predicate disambiguation	`batch_6a037a069e6c8190857b611fffb7b867`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:06 p.m.