Triple

T21757774
Position Surface form Disambiguated ID Type / Status
Subject Clara E537083 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Clara Bog
Clara Bog is a raised bog nature reserve in County Offaly, Ireland, renowned for its well-preserved peatland ecosystem and rich biodiversity.
 E1500549 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: Clara Bog | Statement: [Clara, hasNearbyAttraction, Clara Bog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clara Bog
Context triple: [Clara, hasNearbyAttraction, Clara Bog]
  • A. Gisclareny
    Gisclareny is a small rural municipality in the Catalan Pyrenees of northeastern Spain, known for its mountainous landscapes and traditional farming character.
  • B. Arleta
    Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
  • C. Naldehra
    Naldehra is a serene hill station in the Indian state of Himachal Pradesh, known for its lush cedar forests, scenic mountain views, and historic golf course.
  • D. Clare
    Clare is a central character in Ali Smith’s novel "Hotel World," whose story explores themes of mortality, memory, and interconnected lives.
  • E. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • 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: Clara Bog
Triple: [Clara, hasNearbyAttraction, Clara Bog]
Generated description
Clara Bog is a raised bog nature reserve in County Offaly, Ireland, renowned for its well-preserved peatland ecosystem and rich biodiversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clara Bog
Target entity description: Clara Bog is a raised bog nature reserve in County Offaly, Ireland, renowned for its well-preserved peatland ecosystem and rich biodiversity.
  • A. Gisclareny
    Gisclareny is a small rural municipality in the Catalan Pyrenees of northeastern Spain, known for its mountainous landscapes and traditional farming character.
  • B. Arleta
    Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
  • C. Naldehra
    Naldehra is a serene hill station in the Indian state of Himachal Pradesh, known for its lush cedar forests, scenic mountain views, and historic golf course.
  • D. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • E. Clare
    Clare is a small town in South Australia that serves as the main service and tourism hub for the surrounding Clare Valley wine region.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8f64d881909cf10fd420153b09 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a367268908190a0fd9c8531ea60f1 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a37b4a00c8190935e7f7fb4c456ca completed May 17, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3849dc0881909e5b7c5dd76c56bf completed May 17, 2026, 9:51 p.m.
Created at: April 16, 2026, 6:50 p.m.