Triple

T30364320
Position Surface form Disambiguated ID Type / Status
Subject HMS Conway E772372 entity
Predicate shipComponent P38891 FINISHED
Object HMS Nile (as training ship hull)
HMS Nile (as training ship hull) was an old Royal Navy warship repurposed as the stationary hull for the naval training ship HMS Conway.
 E1909388 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 Nile (as training ship hull) | Statement: [HMS Conway, shipComponent, HMS Nile (as training ship hull)]
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 Nile (as training ship hull)
Triple: [HMS Conway, shipComponent, HMS Nile (as training ship hull)]
Generated description
HMS Nile (as training ship hull) was an old Royal Navy warship repurposed as the stationary hull for the naval training ship HMS Conway.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: shipComponent
Context triple: [HMS Conway, shipComponent, HMS Nile (as training ship hull)]
  • A. 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.
  • B. shipMaterial
    Indicates that one entity is the material or substance from which the ship entity is made or constructed.
  • C. marineComponent
    Indicates a relationship where something is a part, subsystem, or element of a marine or sea-related system, structure, or environment.
  • D. shipDraft
    Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
  • E. shipCompanion
    Indicates that one entity serves as a companion or partner accompanying another entity on a ship or sea voyage.
  • 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_69f2248d71408190aec0d5c2001b1cff completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6827ecae8819092c15bbb1529dbad completed May 2, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c34e9248190807393600a50b1e7 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cd71b248190ba0edffa3f3b1325 completed June 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a277d44cc208190aa60636c8df63242 completed June 9, 2026, 2:41 a.m.
PD Predicate disambiguation batch_69f678d019fc8190913662cd2f87b857 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 7:58 p.m.