Triple

T4386587
Position Surface form Disambiguated ID Type / Status
Subject London Scottish Regiment E99257 entity
Predicate hasMotto P42 FINISHED
Object Bydand
Bydand is the traditional motto of the London Scottish Regiment, expressing steadfastness and unwavering resolve.
 E436613 NE FINISHED

How this triple was built (4 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: Bydand | Statement: [London Scottish Regiment, hasMotto, Bydand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bydand
Context triple: [London Scottish Regiment, hasMotto, Bydand]
  • A. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • B. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • C. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • D. Borrowash
    Borrowash is a large village in the county of Derbyshire, England, situated just east of the city of Derby.
  • E. Dudley
    Dudley is a large industrial town in England’s West Midlands, historically known for its role in the Black Country and its prominent castle and zoo.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Bydand
Triple: [London Scottish Regiment, hasMotto, Bydand]
Generated description
Bydand is the traditional motto of the London Scottish Regiment, expressing steadfastness and unwavering resolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bydand
Target entity description: Bydand is the traditional motto of the London Scottish Regiment, expressing steadfastness and unwavering resolve.
  • A. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • B. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • C. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • D. Borrowash
    Borrowash is a large village in the county of Derbyshire, England, situated just east of the city of Derby.
  • E. Dudley
    Dudley is a large industrial town in England’s West Midlands, historically known for its role in the Black Country and its prominent castle and zoo.
  • F. None of above. chosen

Provenance (5 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e526e35c8190838c59e402da3c89 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeaf35348190a1611f5b04baed1f completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef5c7e0c819080b0e8914dcd6568 completed March 14, 2026, 11:29 p.m.
Created at: March 12, 2026, 11:19 p.m.