Triple

T38330481
Position Surface form Disambiguated ID Type / Status
Subject Harry DeWolf-class E1037807 entity
Predicate fourthShip P47773 FINISHED
Object HMCS William Hall
HMCS William Hall is a Royal Canadian Navy Arctic and Offshore Patrol Ship of the Harry DeWolf class named in honor of Victoria Cross recipient William Hall.
 E2272245 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: HMCS William Hall | Statement: [Harry DeWolf-class, fourthShip, HMCS William Hall]
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: HMCS William Hall
Triple: [Harry DeWolf-class, fourthShip, HMCS William Hall]
Generated description
HMCS William Hall is a Royal Canadian Navy Arctic and Offshore Patrol Ship of the Harry DeWolf class named in honor of Victoria Cross recipient William Hall.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fourthShip
Context triple: [Harry DeWolf-class, fourthShip, HMCS William Hall]
  • A. fourthShipRenamedAs
    Indicates that a ship, specifically the fourth in a sequence or context, has had its name changed to another designated name.
  • B. fourthBoat chosen
    Indicates that an entity is the fourth boat in an ordered sequence or ranking of boats.
  • C. fifthShip
    Indicates that an entity is the fifth ship in an ordered sequence or ranking of ships.
  • D. notableVictimShip
    Indicates that a ship is recognized as a particularly significant or noteworthy victim in a specific incident or context.
  • E. firstShip
    Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
  • 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d63a8644819093ec0a66a2293338 completed June 29, 2026, 2:19 a.m.
NEDg Description generation batch_6a41d6f926008190b8208f5d88c18eff completed June 29, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a41d77e83648190a64a94356ef8e13f completed June 29, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:30 p.m.