Triple

T2369265
Position Surface form Disambiguated ID Type / Status
Subject Middle-earth E46050 entity
Predicate hasSea P1182 FINISHED
Object Sea of Rhûn
The Sea of Rhûn is a large inland lake in J.R.R. Tolkien’s Middle-earth, situated in the far east beyond the lands familiar from The Lord of the Rings.
E261168 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: Sea of Rhûn | Statement: [Middle-earth, hasSea, Sea of Rhûn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea of Rhûn
Context triple: [Middle-earth, hasSea, Sea of Rhûn]
  • A. Landwasser
    Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
  • B. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • C. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • D. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • E. Savunese waters
    Savunese waters are the maritime area surrounding Savu Island in eastern Indonesia, known for their rich marine biodiversity and role in local fishing and seafaring.
  • 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: Sea of Rhûn
Triple: [Middle-earth, hasSea, Sea of Rhûn]
Generated description
The Sea of Rhûn is a large inland lake in J.R.R. Tolkien’s Middle-earth, situated in the far east beyond the lands familiar from The Lord of the Rings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sea of Rhûn
Target entity description: The Sea of Rhûn is a large inland lake in J.R.R. Tolkien’s Middle-earth, situated in the far east beyond the lands familiar from The Lord of the Rings.
  • A. Landwasser
    Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
  • B. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • C. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • D. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • E. Savunese waters
    Savunese waters are the maritime area surrounding Savu Island in eastern Indonesia, known for their rich marine biodiversity and role in local fishing and seafaring.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76dcaa481908567a068bd61e5ad completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea89eb46481909cc01202839d417f completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aeac2435e88190ae38a1a4d20c4872 completed March 9, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69aeaca11b008190b34397bdf7aa0669 completed March 9, 2026, 11:18 a.m.
Created at: March 4, 2026, 7:56 p.m.