Triple

T17833720
Position Surface form Disambiguated ID Type / Status
Subject نهر البليخ E445327 entity
Predicate hasName P744 FINISHED
Object البليخ
البليخ نهر يقع في شمال سوريا ويعد أحد روافد نهر الفرات المهمة في منطقة الجزيرة السورية.
E1291066 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: البليخ | Statement: [نهر البليخ, hasName, البليخ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: البليخ
Context triple: [نهر البليخ, hasName, البليخ]
  • A. Bleckede
    Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
  • B. Blaak
    Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
  • C. Szczerbiec
    Szczerbiec is the historic coronation sword of Polish kings, renowned as a national symbol of medieval Poland and its monarchy.
  • D. Blust
    Blust is a surname most notably associated with Robert Blust, an influential American linguist known for his extensive work on Austronesian languages.
  • E. Behka
    "Behka" is a popular romantic Hindi song from the Bollywood film "Ghajini," known for its catchy melody and expressive vocals.
  • 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: البليخ
Triple: [نهر البليخ, hasName, البليخ]
Generated description
البليخ نهر يقع في شمال سوريا ويعد أحد روافد نهر الفرات المهمة في منطقة الجزيرة السورية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: البليخ
Target entity description: البليخ نهر يقع في شمال سوريا ويعد أحد روافد نهر الفرات المهمة في منطقة الجزيرة السورية.
  • A. Bleckede
    Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
  • B. Blaak
    Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
  • C. Szczerbiec
    Szczerbiec is the historic coronation sword of Polish kings, renowned as a national symbol of medieval Poland and its monarchy.
  • D. Blust
    Blust is a surname most notably associated with Robert Blust, an influential American linguist known for his extensive work on Austronesian languages.
  • E. Behka
    "Behka" is a popular romantic Hindi song from the Bollywood film "Ghajini," known for its catchy melody and expressive vocals.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2635a081909d4d48d22e260f8e completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f83e748190b9d111b12ee8e0b8 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0308403f7c81908570458c944eae34 completed May 12, 2026, 11 a.m.
NED2 Entity disambiguation (via description) batch_6a0308d5d69481908402f366e561b8c0 completed May 12, 2026, 11:02 a.m.
Created at: April 10, 2026, 10:15 a.m.