Triple

T29306987

Position	Surface form	Disambiguated ID	Type / Status
Subject	Campbell River Water Aerodrome	`E743121`	entity
Predicate	hasTCCode	`P54799`	FINISHED
Object	CAE3 CAE3 is the Transport Canada location identifier for Campbell River Water Aerodrome, a seaplane base serving the Campbell River area in British Columbia, Canada.	`E1860730`	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: CAE3 | Statement: [Campbell River Water Aerodrome, hasTCCode, CAE3]

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: CAE3
Triple: [Campbell River Water Aerodrome, hasTCCode, CAE3]

Generated description

CAE3 is the Transport Canada location identifier for Campbell River Water Aerodrome, a seaplane base serving the Campbell River area in British Columbia, Canada.

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

Target predicate: hasTCCode
Context triple: [Campbell River Water Aerodrome, hasTCCode, CAE3]

A. hasATCCode
Indicates that a pharmaceutical product or substance is assigned a specific Anatomical Therapeutic Chemical (ATC) classification code.
B. TCcode chosen
Indicates a relationship where an entity is associated with, identified by, or classified using a specific TC (technical/transaction/control) code.
C. hasIneCode
Indicates that an entity is associated with a specific INE (national statistics or education) code that identifies it in an official registry.
D. hasTransportCode
Indicates that an entity is associated with a specific transport-related code used to identify or classify its mode, method, or details of transportation.
E. hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
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_69f09123ed9881909f351f7541933f5e`	completed	April 28, 2026, 10:51 a.m.
NER	Named-entity recognition	`batch_69f665a6fbb88190bae8ba90855eadda`	completed	May 2, 2026, 8:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25a8632a7081909d0a77b954c69a87`	completed	June 7, 2026, 5:20 p.m.
NEDg	Description generation	`batch_6a25ad7a279081908de3f7314c3d9219`	completed	June 7, 2026, 5:42 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25ae50c19c8190a136284303fde76b`	completed	June 7, 2026, 5:45 p.m.
PD	Predicate disambiguation	`batch_69f660f2e3708190ab658652bcfc04d0`	completed	May 2, 2026, 8:39 p.m.

Created at: April 28, 2026, 1:14 p.m.