Triple

T10626361
Position Surface form Disambiguated ID Type / Status
Subject Naiads E250333 entity
Predicate contrastedWith P278 FINISHED
Object oreads
Oreads are mountain and hill nymphs from Greek mythology, typically associated with rocky landscapes and high places.
 E876279 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: oreads | Statement: [Naiads, contrastedWith, oreads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: oreads
Context triple: [Naiads, contrastedWith, oreads]
  • A. Read
    Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
  • B. Read
    Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
  • C. Reading
    Reading is a historic city in southeastern Pennsylvania known for its industrial heritage, transportation links, and role as a regional cultural and economic center.
  • D. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • E. Reading
    "Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
  • 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: oreads
Triple: [Naiads, contrastedWith, oreads]
Generated description
Oreads are mountain and hill nymphs from Greek mythology, typically associated with rocky landscapes and high places.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: oreads
Target entity description: Oreads are mountain and hill nymphs from Greek mythology, typically associated with rocky landscapes and high places.
  • A. Read
    Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
  • B. Read
    Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
  • C. Reading
    Reading is a historic city in southeastern Pennsylvania known for its industrial heritage, transportation links, and role as a regional cultural and economic center.
  • D. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • E. Reading
    "Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df80a30c81909f36fe221cf68822 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96ba260b48190a5bde201ee3df69a completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96fe942648190a8779e13e16b9196 completed April 10, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 8:55 p.m.