Triple

T30428116

Position	Surface form	Disambiguated ID	Type / Status
Subject	Canon EF-M lens mount	`E774088`	entity
Predicate	adapterName	`P172179`	FINISHED
Object	Canon Mount Adapter EF-EOS M The Canon Mount Adapter EF-EOS M is an accessory that allows Canon EF and EF-S lenses to be used on Canon EOS M series mirrorless cameras while maintaining full electronic communication and functionality.	`E1915005`	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: Canon Mount Adapter EF-EOS M | Statement: [Canon EF-M lens mount, adapterName, Canon Mount Adapter EF-EOS M]

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: Canon Mount Adapter EF-EOS M
Triple: [Canon EF-M lens mount, adapterName, Canon Mount Adapter EF-EOS M]

Generated description

The Canon Mount Adapter EF-EOS M is an accessory that allows Canon EF and EF-S lenses to be used on Canon EOS M series mirrorless cameras while maintaining full electronic communication and functionality.

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

Target predicate: adapterName
Context triple: [Canon EF-M lens mount, adapterName, Canon Mount Adapter EF-EOS M]

A. deviceName
Indicates that a device is associated with a specific name or label used to identify it.
B. chipSetName
Indicates the specific chipset designation or model name associated with a hardware component or device.
C. connectorTypeDesignation
Indicates the specific type or classification assigned to a connector within a connection or interface relationship.
D. connectorType
Indicates the specific kind or category of connection interface that links two entities.
E. chassisName
Indicates the designated name or identifier assigned to a chassis in a system or dataset.
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_69f22491ba248190b9a4776ca8e42d02`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f6a9603b208190b3533ea2b441514c`	completed	May 3, 2026, 1:48 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2798b7aae48190a93751027a1af148`	completed	June 9, 2026, 4:38 a.m.
NEDg	Description generation	`batch_6a279a2571348190a4e73550fb88a687`	completed	June 9, 2026, 4:44 a.m.
NED2	Entity disambiguation (via description)	`batch_6a279a938f448190b0cb68d9855c274d`	completed	June 9, 2026, 4:46 a.m.
PD	Predicate disambiguation	`batch_69f6a7548eb48190a69b60a3c6ad53b9`	completed	May 3, 2026, 1:39 a.m.
PDg	Predicate description generation	`batch_69f6a915ead881909463ae46419c343e`	completed	May 3, 2026, 1:47 a.m.

Created at: April 29, 2026, 8:06 p.m.