Triple

T36207503

Position	Surface form	Disambiguated ID	Type / Status
Subject	SS Hamonic wreck	`E1047439`	entity
Predicate	originalVessel	`P53781`	FINISHED
Object	SS Hamonic SS Hamonic was a Canadian passenger steamship that operated on the Great Lakes in the early 20th century before being destroyed by fire.	`E2172852`	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: SS Hamonic | Statement: [SS Hamonic wreck, originalVessel, SS Hamonic]

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: SS Hamonic
Triple: [SS Hamonic wreck, originalVessel, SS Hamonic]

Generated description

SS Hamonic was a Canadian passenger steamship that operated on the Great Lakes in the early 20th century before being destroyed by fire.

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

Target predicate: originalVessel
Context triple: [SS Hamonic wreck, originalVessel, SS Hamonic]

A. hasOriginalVesselName chosen
Indicates that an entity (such as a vessel) is associated with its original, historically first-assigned name.
B. traditionalVessel
Indicates that one entity is a vessel or container that follows traditional, customary, or historically established forms, designs, or uses in relation to another entity.
C. hasVessel
Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
D. captorVessel
Indicates a relationship where one vessel has captured, seized, or taken control of another vessel.
E. namedVesselOf
Indicates that one entity is the specific named vessel (e.g., ship, boat, or craft) associated with or belonging to another entity.
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_69f76e4214748190a76c986d2a1838c2`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8d06cc8190ab6a5e18d9d2571e`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3934217e588190aeeaf3a1e21bdaa9`	completed	June 22, 2026, 1:09 p.m.
NEDg	Description generation	`batch_6a39350a315c8190838fa2987f631da1`	completed	June 22, 2026, 1:13 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39356e210c8190badece11b58c96b2`	completed	June 22, 2026, 1:15 p.m.
PD	Predicate disambiguation	`batch_6a037a0a54cc8190868c1bfa1590d1a6`	completed	May 12, 2026, 7:05 p.m.

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