Triple

T35660894

Position	Surface form	Disambiguated ID	Type / Status
Subject	United States polar icebreaking fleet	`E1030430`	entity
Predicate	componentVessel	`P38891`	FINISHED
Object	USCGC Polar Star USCGC Polar Star is a heavy icebreaker of the United States Coast Guard, primarily used for polar research support and Antarctic resupply missions.	`E2155681`	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: USCGC Polar Star | Statement: [United States polar icebreaking fleet, componentVessel, USCGC Polar Star]

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: USCGC Polar Star
Triple: [United States polar icebreaking fleet, componentVessel, USCGC Polar Star]

Generated description

USCGC Polar Star is a heavy icebreaker of the United States Coast Guard, primarily used for polar research support and Antarctic resupply missions.

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

Target predicate: componentVessel
Context triple: [United States polar icebreaking fleet, componentVessel, USCGC Polar Star]

A. captorVessel
Indicates a relationship where one vessel has captured, seized, or taken control of another vessel.
B. componentShip chosen
Indicates that one entity is a physical or logical component or part of another entity, such that the whole is composed of or depends on that component.
C. isVesselFor
Indicates that one entity functions as a container or medium specifically used to hold, carry, or convey another entity.
D. 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.
E. vesselService
Indicates a service relationship in which one entity provides, operates, or maintains a vessel (such as a ship or boat) for 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_69f76e09f87881909c954aaac176c34f`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fdb04ed81c8190b8feea90c1c785a6`	completed	May 8, 2026, 9:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38914f56c88190828a8f3bbd78a053`	completed	June 22, 2026, 1:35 a.m.
NEDg	Description generation	`batch_6a3891dc79dc8190bf2482158e0dabed`	completed	June 22, 2026, 1:37 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38925d7c688190afca1a703aea06c3`	completed	June 22, 2026, 1:39 a.m.
PD	Predicate disambiguation	`batch_69fda9d6c5148190a63205b6d9b0a1b4`	completed	May 8, 2026, 9:16 a.m.

Created at: May 3, 2026, 4:05 p.m.