Triple

T33088484

Position	Surface form	Disambiguated ID	Type / Status
Subject	Raid on Yarmouth (1914)	`E846707`	entity
Predicate	shipInvolvedDefender	`P862`	FINISHED
Object	HMS Halcyon HMS Halcyon was a Royal Navy minesweeper launched in the early 20th century that served in both World Wars, notably participating in North Sea operations and coastal defense duties.	`E2141770`	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: HMS Halcyon | Statement: [Raid on Yarmouth (1914), shipInvolvedDefender, HMS Halcyon]

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: HMS Halcyon
Triple: [Raid on Yarmouth (1914), shipInvolvedDefender, HMS Halcyon]

Generated description

HMS Halcyon was a Royal Navy minesweeper launched in the early 20th century that served in both World Wars, notably participating in North Sea operations and coastal defense duties.

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

Target predicate: shipInvolvedDefender
Context triple: [Raid on Yarmouth (1914), shipInvolvedDefender, HMS Halcyon]

A. shipDefenseType
Indicates the specific kind of defensive system or protection mechanism that a ship employs.
B. shipInvolved chosen
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
C. commanderOfAttackedShip
Indicates that one entity is the commanding officer of a ship that is the target of an attack.
D. attackedByVessel
Indicates that an entity is the target of an attack carried out by a vessel (such as a ship or boat).
E. shipTypeInvolved
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
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_69f34954d46c8190a04a159cc5f99efd`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6db6af1d88190989810182354d60f`	completed	May 3, 2026, 5:21 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3840109cf8819089151d143da2e4e9`	completed	June 21, 2026, 7:48 p.m.
NEDg	Description generation	`batch_6a3840d842a8819093075b6c8556b86f`	completed	June 21, 2026, 7:51 p.m.
NED2	Entity disambiguation (via description)	`batch_6a38417151208190a130bdb18576e17e`	completed	June 21, 2026, 7:54 p.m.
PD	Predicate disambiguation	`batch_69f6d82d068c8190940a3200ed760e38`	completed	May 3, 2026, 5:07 a.m.

Created at: May 1, 2026, 1:26 a.m.