Triple

T24704364

Position	Surface form	Disambiguated ID	Type / Status
Subject	Battle of Dungeness (1652)	`E611845`	entity
Predicate	notableShipEnglish	`P3345`	FINISHED
Object	Triumph Triumph was a prominent English warship of the mid-17th century that played a key role in naval engagements such as those of the First Anglo-Dutch War.	`E1647625`	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: Triumph | Statement: [Battle of Dungeness (1652), notableShipEnglish, Triumph]

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: Triumph
Triple: [Battle of Dungeness (1652), notableShipEnglish, Triumph]

Generated description

Triumph was a prominent English warship of the mid-17th century that played a key role in naval engagements such as those of the First Anglo-Dutch War.

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

Target predicate: notableShipEnglish
Context triple: [Battle of Dungeness (1652), notableShipEnglish, Triumph]

A. notableShip chosen
Indicates that there is a notable or significant ship associated with the subject entity.
B. approximateEnglishShips
Indicates that one entity is an estimated or approximate count of English ships associated with another entity or context.
C. BritishShipType
Indicates that the entity is classified as a type of ship associated with Britain, typically by origin, design, or service.
D. BritishShipRate
Indicates that the subject is classified or rated according to the British naval ship rating system (e.g., first-rate, second-rate, etc.).
E. notableShipOnRoute
Indicates that a particular ship is especially significant or prominent among those operating on a given route.
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_69e2c4d9c24c8190a3712d74327f0c6e`	completed	April 17, 2026, 11:40 p.m.
NER	Named-entity recognition	`batch_69f657f653448190a945b4751af8507d`	completed	May 2, 2026, 8 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10100bfc2c8190a197cdea1521b910`	completed	May 22, 2026, 8:13 a.m.
NEDg	Description generation	`batch_6a10136b70f4819096d05c3f3fed09c2`	completed	May 22, 2026, 8:27 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10145c05c88190a29367197865506c`	completed	May 22, 2026, 8:31 a.m.
PD	Predicate disambiguation	`batch_69f6575ba12081909396036f78757a76`	completed	May 2, 2026, 7:58 p.m.

Created at: April 18, 2026, 3:23 a.m.