Triple

T23633745
Position Surface form Disambiguated ID Type / Status
Subject Operation Ellamy E583685 entity
Predicate usedNavalAsset P123188 FINISHED
Object HMS Ocean
HMS Ocean was a Royal Navy amphibious assault ship and helicopter carrier that served as the fleet’s largest warship until the commissioning of the Queen Elizabeth-class aircraft carriers.
 E1606500 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 Ocean | Statement: [Operation Ellamy, usedNavalAsset, HMS Ocean]
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 Ocean
Triple: [Operation Ellamy, usedNavalAsset, HMS Ocean]
Generated description
HMS Ocean was a Royal Navy amphibious assault ship and helicopter carrier that served as the fleet’s largest warship until the commissioning of the Queen Elizabeth-class aircraft carriers.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usedNavalAsset
Context triple: [Operation Ellamy, usedNavalAsset, HMS Ocean]
  • A. navalFeatures
    Indicates that something possesses characteristics, components, or attributes specifically associated with naval or maritime contexts.
  • B. shipsUsedAs chosen
    Indicates that certain ships are employed or repurposed to serve in a specified role, function, or capacity.
  • C. hasNavalComponent
    Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
  • D. usedNavalAviation
    Indicates that an entity employed or deployed naval aviation forces or capabilities in a particular context or operation.
  • E. usedForShips
    Indicates that something is designed, intended, or suitable to be used for ships or ship-related purposes.
  • 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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1ea269c8190a677e812d7471a98 completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f6956170c81909de6f4643f30fcf3 completed May 21, 2026, 8:21 p.m.
NEDg Description generation batch_6a0f6d3d0b548190aa6de291bffd32ce completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6db3e3c081909f81db7080f51351 completed May 21, 2026, 8:40 p.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:47 p.m.