Triple

T36834642
Position Surface form Disambiguated ID Type / Status
Subject HMS Argonaut E910236 entity
Predicate previousShipWithSameName P200128 FINISHED
Object HMS Argonaut (WWII cruiser)
HMS Argonaut (WWII cruiser) was a Royal Navy Dido-class light cruiser that saw extensive service in World War II, including convoy escort, Mediterranean operations, and support for major Allied landings.
 E2201224 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 Argonaut (WWII cruiser) | Statement: [HMS Argonaut, previousShipWithSameName, HMS Argonaut (WWII cruiser)]
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 Argonaut (WWII cruiser)
Triple: [HMS Argonaut, previousShipWithSameName, HMS Argonaut (WWII cruiser)]
Generated description
HMS Argonaut (WWII cruiser) was a Royal Navy Dido-class light cruiser that saw extensive service in World War II, including convoy escort, Mediterranean operations, and support for major Allied landings.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: previousShipWithSameName
Context triple: [HMS Argonaut, previousShipWithSameName, HMS Argonaut (WWII cruiser)]
  • A. previousShipClass
    Indicates that one ship class directly precedes another in a sequence or lineage of ship classes.
  • B. successorVesselNameReuse chosen
    Indicates that a later vessel reuses the name of an earlier vessel as its successor.
  • C. lastShip
    Indicates that one entity is the final or most recent ship associated with another entity in a given sequence, context, or process.
  • D. renamedShipAs
    Indicates that one entity changed the name of a ship to another specified name.
  • E. secondShipRenamedAs
    Indicates that a second ship has been given a new name, establishing a renaming relationship between its prior and current identities.
  • 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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffacdf9f5c8190baef0245edfe87fc completed May 9, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde6f78408190bafedbf04dcc84da completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de4b824e88190a8e246133862a9b7 completed June 26, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a3df00752ec8190a8f9448e334b5e28 completed June 26, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69ffac5e86e08190a1e6da0840a237ad completed May 9, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:13 p.m.