Triple

T2397078
Position Surface form Disambiguated ID Type / Status
Subject Count of Vidigueira E47674 entity
Predicate titleStyle P2097 FINISHED
Object Dom
Dom is a Portuguese honorific title traditionally used for nobility, royalty, and certain high-ranking religious figures.
 E263213 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: Dom | Statement: [Count of Vidigueira, titleStyle, Dom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dom
Context triple: [Count of Vidigueira, titleStyle, Dom]
  • A. Dom
    Dom is one of the highest and most prominent mountains in the Swiss Alps, renowned for its imposing pyramid shape and challenging climbing routes.
  • B. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • C. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • D. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • E. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • 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: Dom
Triple: [Count of Vidigueira, titleStyle, Dom]
Generated description
Dom is a Portuguese honorific title traditionally used for nobility, royalty, and certain high-ranking religious figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dom
Target entity description: Dom is a Portuguese honorific title traditionally used for nobility, royalty, and certain high-ranking religious figures.
  • A. Dom
    Dom is one of the highest and most prominent mountains in the Swiss Alps, renowned for its imposing pyramid shape and challenging climbing routes.
  • B. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • C. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • D. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • E. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c4a8bc819086892a75caac0207 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3de3d548190b3eda939fa5f72b3 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b83ec48190b2852daef0767ac8 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb57f0e90819093b096955f9cc2b5 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.