Triple

T17264000
Position Surface form Disambiguated ID Type / Status
Subject Dender E419075 entity
Predicate hasNameInFrench P6538 FINISHED
Object Dendre
Dendre is the French name for the Dender, a river flowing through Belgium and into the Scheldt.
 E1259008 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: Dendre | Statement: [Dender, hasNameInFrench, Dendre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dendre
Context triple: [Dender, hasNameInFrench, Dendre]
  • A. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • B. Arbore
    Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
  • C. Whitetree
    Whitetree is a small, ancient wildling village in the far north of Westeros, notable for the enormous weirwood tree at its center.
  • D. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • E. Treelo
    Treelo is a playful, high-energy lemur character from the children's television series "Bear in the Big Blue House," known for his exuberant personality and love of dancing and singing.
  • 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: Dendre
Triple: [Dender, hasNameInFrench, Dendre]
Generated description
Dendre is the French name for the Dender, a river flowing through Belgium and into the Scheldt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dendre
Target entity description: Dendre is the French name for the Dender, a river flowing through Belgium and into the Scheldt.
  • A. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • B. Arbore
    Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
  • C. Whitetree
    Whitetree is a small, ancient wildling village in the far north of Westeros, notable for the enormous weirwood tree at its center.
  • D. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • E. Treelo
    Treelo is a playful, high-energy lemur character from the children's television series "Bear in the Big Blue House," known for his exuberant personality and love of dancing and singing.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171054f388190bf068ca2e6b88458 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a0173faebf48190a1334a205cd9804a completed May 11, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0174a41204819097b9aeff2c09cffe completed May 11, 2026, 6:18 a.m.
Created at: April 10, 2026, 5:40 a.m.