Triple

T7369697
Position Surface form Disambiguated ID Type / Status
Subject Vesdre E169963 entity
Predicate hasLeftTributary P415 FINISHED
Object Soor
Soor is a small river in eastern Belgium that flows through the High Fens region before joining the Vesdre.
 E660128 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: Soor | Statement: [Vesdre, hasLeftTributary, Soor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soor
Context triple: [Vesdre, hasLeftTributary, Soor]
  • A. Sojitra
    Sojitra is a town in the Anand district of Gujarat, India, known for its agricultural surroundings and local dairy-based economy.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Shushary
    Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
  • D. Sihor
    Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
  • E. Syagha
    Syagha is the summit of Mount Nebo, a historically and religiously significant peak traditionally associated with the biblical vantage point of Moses over the Promised Land.
  • 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: Soor
Triple: [Vesdre, hasLeftTributary, Soor]
Generated description
Soor is a small river in eastern Belgium that flows through the High Fens region before joining the Vesdre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soor
Target entity description: Soor is a small river in eastern Belgium that flows through the High Fens region before joining the Vesdre.
  • A. Sojitra
    Sojitra is a town in the Anand district of Gujarat, India, known for its agricultural surroundings and local dairy-based economy.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Shushary
    Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
  • D. Sihor
    Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
  • E. Syagha
    Syagha is the summit of Mount Nebo, a historically and religiously significant peak traditionally associated with the biblical vantage point of Moses over the Promised Land.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1810668819094aec4b237d08068 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c3a4788190850294b054b9c928 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c803baa4d48190941174246f533399 completed March 28, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_69c80457cca08190a392b4efaa50a3f4 completed March 28, 2026, 4:39 p.m.
Created at: March 27, 2026, 3:07 p.m.