Triple

T25594218

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hamilton Centre	`E641602`	entity
Predicate	demographicCensusDivision	`P158881`	FINISHED
Object	Hamilton Hamilton is a major port city in Ontario, Canada, known for its steel industry, diverse population, and role as a regional economic and cultural hub.	`E18497`	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: Hamilton | Statement: [Hamilton Centre, demographicCensusDivision, Hamilton]

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: Hamilton
Triple: [Hamilton Centre, demographicCensusDivision, Hamilton]

Generated description

Hamilton is a major port city in Ontario, Canada, known for its steel industry, diverse population, and role as a regional economic and cultural hub.

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

Target predicate: demographicCensusDivision
Context triple: [Hamilton Centre, demographicCensusDivision, Hamilton]

A. censusDivisionType
Indicates the classification of a census division according to its official administrative or statistical type.
B. hasCensusDivisionCode
Indicates that an entity is associated with a specific census division identified by a particular code.
C. hasCensusSubdivision
Indicates that an entity (typically a larger administrative area) includes or is associated with a specific census-defined subdivision within it.
D. borderingCensusDivision
Indicates that one census division shares a common boundary with another census division.
E. censusSubdivisionType
Indicates the specific administrative or geographic category assigned to a census subdivision (e.g., city, town, rural area) within a census system.
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_69e75dc60d108190b7e2419e36b0134b`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f5f96f9c408190a0507dc73bd69a82`	completed	May 2, 2026, 1:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10c13827fc81909ecffe4eba20f9f6`	completed	May 22, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a10c20f4f748190bc19a702f0788086`	completed	May 22, 2026, 8:52 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10c2b0c540819086fe2b0fef3f76d1`	completed	May 22, 2026, 8:55 p.m.
PD	Predicate disambiguation	`batch_69f480789be08190ab252a6de3797200`	completed	May 1, 2026, 10:29 a.m.
PDg	Predicate description generation	`batch_69f48b9058d081908ec9af261ee092e2`	completed	May 1, 2026, 11:16 a.m.

Created at: April 21, 2026, 4:26 p.m.