Triple

T4174333
Position Surface form Disambiguated ID Type / Status
Subject Hainaut E86438 entity
Predicate hasRiver P165 FINISHED
Object Haine
Haine is a river in western Europe that flows through northern France and southwestern Belgium, historically associated with the Hainaut region.
 E418435 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: Haine | Statement: [Hainaut, hasRiver, Haine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haine
Context triple: [Hainaut, hasRiver, Haine]
  • A. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Haitink
    Haitink is a Dutch surname most famously associated with Bernard Haitink, the renowned 20th-century conductor known for his interpretations of the symphonic repertoire.
  • C. Hamoaze
    Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
  • D. Hnoss
    Hnoss is a figure in Norse mythology known as the beautiful daughter of the goddess Freyja, often associated with preciousness and treasure.
  • E. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • 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: Haine
Triple: [Hainaut, hasRiver, Haine]
Generated description
Haine is a river in western Europe that flows through northern France and southwestern Belgium, historically associated with the Hainaut region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haine
Target entity description: Haine is a river in western Europe that flows through northern France and southwestern Belgium, historically associated with the Hainaut region.
  • A. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Haitink
    Haitink is a Dutch surname most famously associated with Bernard Haitink, the renowned 20th-century conductor known for his interpretations of the symphonic repertoire.
  • C. Hamoaze
    Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
  • D. Hnoss
    Hnoss is a figure in Norse mythology known as the beautiful daughter of the goddess Freyja, often associated with preciousness and treasure.
  • E. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e7d30081909774a3e2a2132d6a completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f5428a0819082aaea8950a7c039 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b5800ab42c8190a1bc6f84db38f170 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5843d6ac88190804242661d077546 completed March 14, 2026, 3:52 p.m.
Created at: March 9, 2026, 3:45 p.m.