Triple

T1275119
Position Surface form Disambiguated ID Type / Status
Subject Pennine Alps E15796 entity
Predicate contains P35 FINISHED
Object 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.
 E145805 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: [Pennine Alps, contains, Dom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dom
Context triple: [Pennine Alps, contains, Dom]
  • A. 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.
  • B. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • C. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • D. Dan
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • E. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • 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: [Pennine Alps, contains, Dom]
Generated description
Dom is one of the highest and most prominent mountains in the Swiss Alps, renowned for its imposing pyramid shape and challenging climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dom
Target entity description: Dom is one of the highest and most prominent mountains in the Swiss Alps, renowned for its imposing pyramid shape and challenging climbing routes.
  • A. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • B. 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.
  • C. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • D. Dan
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • E. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06ee22081908141868b57596e35 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2f6c8a08190ac6b1f477388adbb completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca38229108190b8cc2e0ef5bc8667 completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca40068f08190a49f9cbb5c78b471 completed March 7, 2026, 10:17 p.m.
Created at: March 1, 2026, 7:50 p.m.