Triple

T13828805
Position Surface form Disambiguated ID Type / Status
Subject Afon Glaslyn E332326 entity
Predicate nearbySettlement P350 FINISHED
Object Prenteg
Prenteg is a small village in Gwynedd, Wales, situated in the scenic Glaslyn Valley near the river Afon Glaslyn.
 E1064550 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: Prenteg | Statement: [Afon Glaslyn, nearbySettlement, Prenteg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prenteg
Context triple: [Afon Glaslyn, nearbySettlement, Prenteg]
  • A. Prejmer
    Prejmer is a commune in central Romania renowned for its well-preserved fortified church, a UNESCO World Heritage Site.
  • B. Prepon
    Prepon is the surname of American actress Laura Prepon, best known for her roles in "That '70s Show" and "Orange Is the New Black."
  • C. Prenden
    Prenden is a small village in the municipality of Wandlitz in the state of Brandenburg, Germany.
  • D. Pantjeny
    Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • E. Praed
    Praed is a minor character in George Bernard Shaw's play "Mrs Warren's Profession," serving as a genteel, artistic friend whose idealism contrasts with the play’s harsher social realities.
  • 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: Prenteg
Triple: [Afon Glaslyn, nearbySettlement, Prenteg]
Generated description
Prenteg is a small village in Gwynedd, Wales, situated in the scenic Glaslyn Valley near the river Afon Glaslyn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prenteg
Target entity description: Prenteg is a small village in Gwynedd, Wales, situated in the scenic Glaslyn Valley near the river Afon Glaslyn.
  • A. Prejmer
    Prejmer is a commune in central Romania renowned for its well-preserved fortified church, a UNESCO World Heritage Site.
  • B. Prepon
    Prepon is the surname of American actress Laura Prepon, best known for her roles in "That '70s Show" and "Orange Is the New Black."
  • C. Prenden
    Prenden is a small village in the municipality of Wandlitz in the state of Brandenburg, Germany.
  • D. Pantjeny
    Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • E. Praed
    Praed is a minor character in George Bernard Shaw's play "Mrs Warren's Profession," serving as a genteel, artistic friend whose idealism contrasts with the play’s harsher social realities.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba6558fc819082dae55863a9a3b1 completed May 3, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7bb15d31c81909959e50219c4d905 completed May 3, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:13 p.m.