Triple

T36515217

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lexington-class battlecruiser	`E900016`	entity
Predicate	plannedShip	`P193804`	FINISHED
Object	USS Lexington (CC-1) USS Lexington (CC-1) was a planned early 20th-century U.S. Navy battlecruiser that was never completed due to post–World War I naval arms limitation treaties.	`E2187074`	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: USS Lexington (CC-1) | Statement: [Lexington-class battlecruiser, plannedShip, USS Lexington (CC-1)]

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: USS Lexington (CC-1)
Triple: [Lexington-class battlecruiser, plannedShip, USS Lexington (CC-1)]

Generated description

USS Lexington (CC-1) was a planned early 20th-century U.S. Navy battlecruiser that was never completed due to post–World War I naval arms limitation treaties.

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

Target predicate: plannedShip
Context triple: [Lexington-class battlecruiser, plannedShip, USS Lexington (CC-1)]

A. shipPlanned
Indicates that an item or order is scheduled and intended to be shipped at a planned future time.
B. numberOfPlannedShips
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
C. targetedShip
Indicates that one entity has selected or designated a particular ship as the focus of its attention or action, such as for attack, tracking, or interaction.
D. boardsShip
Indicates that one entity gets onto or enters a ship as a passenger or crew member.
E. otherPlannedBoats
Indicates that there are additional boats, beyond the primary one(s) referenced, that are planned or scheduled in relation to the same context or event.
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_69f76e5dada881909da2d34bc7a9202a`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69fd553d7cb881908d243e7a9f30ac85`	completed	May 8, 2026, 3:15 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39dbdb8d50819096e4331f47bb456d`	completed	June 23, 2026, 1:05 a.m.
NEDg	Description generation	`batch_6a39dc86e8cc8190b6be021ce03abfbf`	completed	June 23, 2026, 1:08 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39de5091f8819082f7dd6f5dfff703`	completed	June 23, 2026, 1:16 a.m.
PD	Predicate disambiguation	`batch_69fd514dcb1c81908333c70d7edd79c9`	completed	May 8, 2026, 2:58 a.m.
PDg	Predicate description generation	`batch_69fd553c01488190b9fda48b4a728f04`	completed	May 8, 2026, 3:15 a.m.

Created at: May 3, 2026, 4:10 p.m.