Triple

T6314798
Position Surface form Disambiguated ID Type / Status
Subject De Hoop Nature Reserve E141588 entity
Predicate hasSpecies P965 FINISHED
Object eland
The eland is a large African antelope known for its impressive size, spiral horns, and adaptability to a variety of habitats including grasslands and savannas.
E583901 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: eland | Statement: [De Hoop Nature Reserve, hasSpecies, eland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eland
Context triple: [De Hoop Nature Reserve, hasSpecies, eland]
  • A. Lowlands
    The Lowlands are a historically and culturally significant region of southern and eastern Scotland characterized by relatively flat, fertile terrain and dense population compared to the Highlands.
  • B. Boden
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • C. Laindon
    Laindon is a suburban area within the town of Basildon in Essex, England, known for its residential communities and rail links to London.
  • D. Melland
    Melland is the middle name of British military officer and politician Arthur Asquith, son of former Prime Minister H. H. Asquith.
  • E. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • 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: eland
Triple: [De Hoop Nature Reserve, hasSpecies, eland]
Generated description
The eland is a large African antelope known for its impressive size, spiral horns, and adaptability to a variety of habitats including grasslands and savannas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: eland
Target entity description: The eland is a large African antelope known for its impressive size, spiral horns, and adaptability to a variety of habitats including grasslands and savannas.
  • A. Lowlands
    The Lowlands are a historically and culturally significant region of southern and eastern Scotland characterized by relatively flat, fertile terrain and dense population compared to the Highlands.
  • B. Boden
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • C. Laindon
    Laindon is a suburban area within the town of Basildon in Essex, England, known for its residential communities and rail links to London.
  • D. Melland
    Melland is the middle name of British military officer and politician Arthur Asquith, son of former Prime Minister H. H. Asquith.
  • E. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a197488190946c4637b3c829a5 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e46feeec8190bdb39a48c92bacf1 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5ee04b2388190b36dc9bb23b4a18a completed March 27, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee780bb08190a97c90804f9c6b68 completed March 27, 2026, 2:42 a.m.
Created at: March 22, 2026, 4:28 p.m.