Triple

T3089566
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Diss
Diss is a historic market town in eastern England known for its picturesque mere and traditional town center.
 E324501 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: Diss | Statement: [Suffolk, containsSettlement, Diss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diss
Context triple: [Suffolk, containsSettlement, Diss]
  • A. Dison
    Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
  • B. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • C. Del
    Del is a common shortened form of the given name Derek, often used as an informal or familiar nickname.
  • D. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • E. DED
    DED is the commonly used abbreviation for the ASME Design Engineering Division, a professional group within ASME focused on advancing the field of mechanical design engineering.
  • 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: Diss
Triple: [Suffolk, containsSettlement, Diss]
Generated description
Diss is a historic market town in eastern England known for its picturesque mere and traditional town center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diss
Target entity description: Diss is a historic market town in eastern England known for its picturesque mere and traditional town center.
  • A. Dison
    Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
  • B. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • C. Del
    Del is a common shortened form of the given name Derek, often used as an informal or familiar nickname.
  • D. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • E. DED
    DED is the commonly used abbreviation for the ASME Design Engineering Division, a professional group within ASME focused on advancing the field of mechanical design engineering.
  • 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.