Triple

T36286919

Position	Surface form	Disambiguated ID	Type / Status
Subject	John Deighton	`E893112`	entity
Predicate	hasSaloon	`P135293`	FINISHED
Object	Gassy Jack’s saloon Gassy Jack’s saloon was a historic waterfront bar in what is now Vancouver, Canada, whose establishment by John “Gassy Jack” Deighton led to the development of the Gastown neighborhood.	`E2176301`	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: Gassy Jack’s saloon | Statement: [John Deighton, hasSaloon, Gassy Jack’s saloon]

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: Gassy Jack’s saloon
Triple: [John Deighton, hasSaloon, Gassy Jack’s saloon]

Generated description

Gassy Jack’s saloon was a historic waterfront bar in what is now Vancouver, Canada, whose establishment by John “Gassy Jack” Deighton led to the development of the Gastown neighborhood.

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

Target predicate: hasSaloon
Context triple: [John Deighton, hasSaloon, Gassy Jack’s saloon]

A. hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
B. hasSahn
Indicates that an entity possesses or includes a sahn (a courtyard, typically in traditional Islamic or Middle Eastern architecture).
C. hasTavernOwnershipIn chosen
Indicates that an entity holds ownership rights over a tavern located in a specified place or context.
D. standardSteelSaloonAvailable
Indicates that a standard steel saloon (sedan) vehicle is available.
E. hasChampagneBar
Indicates that an entity includes, features, or is equipped with a champagne bar.
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_69f76e4955c08190b8cfddca34fc0242`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69fbc9d1dba881908c399b8e1dc13ce2`	completed	May 6, 2026, 11:08 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a396e1cf70c8190a7cee37b74cc47f3`	completed	June 22, 2026, 5:17 p.m.
NEDg	Description generation	`batch_6a396facb1bc8190a0651b7a41f719cd`	completed	June 22, 2026, 5:23 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3970784914819086898e230ba5f0f2`	completed	June 22, 2026, 5:27 p.m.
PD	Predicate disambiguation	`batch_69fbc8ec03ac8190a757563f96fab283`	completed	May 6, 2026, 11:04 p.m.

Created at: May 3, 2026, 4:09 p.m.