Triple

T37829244
Position Surface form Disambiguated ID Type / Status
Subject HMS Broadsword E943150 entity
Predicate BrazilianPennantNumber P3153 FINISHED
Object F46
F46 is the Brazilian Navy pennant number assigned to the former Royal Navy Type 22 frigate HMS Broadsword after her transfer to Brazil.
E2244618 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: F46 | Statement: [HMS Broadsword, BrazilianPennantNumber, F46]
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: F46
Triple: [HMS Broadsword, BrazilianPennantNumber, F46]
Generated description
F46 is the Brazilian Navy pennant number assigned to the former Royal Navy Type 22 frigate HMS Broadsword after her transfer to Brazil.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BrazilianPennantNumber
Context triple: [HMS Broadsword, BrazilianPennantNumber, F46]
  • A. pennantNumber chosen
    Indicates the identifying pennant number assigned to a ship or naval vessel.
  • B. BrazilNeededResult
    Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
  • C. countryNamePortuguese
    Indicates the Portuguese-language name assigned to a given country.
  • D. statusInBrazil
    Indicates the legal, social, or operational status that an entity holds specifically within the context of Brazil.
  • E. networkProviderBrazil
    Indicates that one entity serves as a network service provider for another entity within Brazil.
  • 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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb7f60848190bf6888c9e8698696 completed June 28, 2026, 10:46 a.m.
NEDg Description generation batch_6a40fbf76f28819084cae2d29252ac84 completed June 28, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a40fc8326d48190bd0b3602ecac7dfd completed June 28, 2026, 10:50 a.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.