Triple

T26305853

Position	Surface form	Disambiguated ID	Type / Status
Subject	DDG-1000 Zumwalt-class program	`E661679`	entity
Predicate	shipClassDesignation	`P3141`	FINISHED
Object	DDG-1000 DDG-1000 is the lead ship of the U.S. Navy’s Zumwalt-class stealth guided-missile destroyers, featuring advanced technologies and a distinctive wave-piercing tumblehome hull design.	`E1718139`	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: DDG-1000 | Statement: [DDG-1000 Zumwalt-class program, shipClassDesignation, DDG-1000]

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: DDG-1000
Triple: [DDG-1000 Zumwalt-class program, shipClassDesignation, DDG-1000]

Generated description

DDG-1000 is the lead ship of the U.S. Navy’s Zumwalt-class stealth guided-missile destroyers, featuring advanced technologies and a distinctive wave-piercing tumblehome hull design.

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

Target predicate: shipClassDesignation
Context triple: [DDG-1000 Zumwalt-class program, shipClassDesignation, DDG-1000]

A. shipClass chosen
Indicates the classification or type category to which a particular ship belongs.
B. shipClassDeveloped
Indicates that a particular ship class was developed or designed by a specified entity (such as a country, organization, or manufacturer).
C. shipDesigned
Indicates that one entity is responsible for designing or creating the design of a ship associated with another entity.
D. shipClassVariant
Indicates that one ship class is a variant or modified version derived from another ship class.
E. shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given 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_69ee812dacfc81908484aade9120fba9`	completed	April 26, 2026, 9:18 p.m.
NER	Named-entity recognition	`batch_69f60ee2f18481908de53cc9872e96f4`	completed	May 2, 2026, 2:49 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a118fd048b48190b2cdc48f0c766067`	completed	May 23, 2026, 11:30 a.m.
NEDg	Description generation	`batch_6a11908b60208190947e35ec81b2db01`	completed	May 23, 2026, 11:33 a.m.
NED2	Entity disambiguation (via description)	`batch_6a11918caf0c8190bf907ad2c258a8c4`	completed	May 23, 2026, 11:37 a.m.
PD	Predicate disambiguation	`batch_69f602d2ec748190ae95154f34c7878f`	completed	May 2, 2026, 1:57 p.m.

Created at: April 26, 2026, 10:18 p.m.