Triple

T3089810
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Lound
Lound is a small village and civil parish in the English county of Suffolk.
 E324556 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: Lound | Statement: [Suffolk, containsSettlement, Lound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lound
Context triple: [Suffolk, containsSettlement, Lound]
  • A. Langford
    Langford is a small rural village in the Cotswolds area of Oxfordshire, England, known for its historic stone buildings and traditional English countryside setting.
  • B. Langford
    Langford is a rapidly growing suburban city on southern Vancouver Island in British Columbia, Canada, located just west of Victoria.
  • C. Langford
    Langford is a small rural village in North Somerset, England, known for its countryside setting and proximity to Wrington.
  • D. Lydney
    Lydney is a small town in southwest England situated on the River Severn near the Forest of Dean.
  • E. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • 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: Lound
Triple: [Suffolk, containsSettlement, Lound]
Generated description
Lound is a small village and civil parish in the English county of Suffolk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lound
Target entity description: Lound is a small village and civil parish in the English county of Suffolk.
  • A. Langford
    Langford is a small rural village in the Cotswolds area of Oxfordshire, England, known for its historic stone buildings and traditional English countryside setting.
  • B. Langford
    Langford is a rapidly growing suburban city on southern Vancouver Island in British Columbia, Canada, located just west of Victoria.
  • C. Langford
    Langford is a small rural village in North Somerset, England, known for its countryside setting and proximity to Wrington.
  • D. Lydney
    Lydney is a small town in southwest England situated on the River Severn near the Forest of Dean.
  • E. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
NEDg Description generation batch_69b1f9617d2c8190884de2cd1d5fa88b completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9da6ffc81909f84c2b9ac9e7f68 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.