Triple

T33142344
Position Surface form Disambiguated ID Type / Status
Subject نهر جيحون E848189 entity
Predicate يُعرف_في_المصادر_الفارسية_بـ P46411 FINISHED
Object جیحون
جیحون هو نهر تاريخي كبير في آسيا الوسطى يُعرف اليوم باسم نهر آموداريا وكان يشكّل أحد الحدود الطبيعية الشهيرة في الجغرافيا الإسلامية القديمة.
 E2039357 NE FINISHED

How this triple was built (3 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: جیحون | Statement: [نهر جيحون, يُعرف_في_المصادر_الفارسية_بـ, جیحون]
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: جیحون
Triple: [نهر جيحون, يُعرف_في_المصادر_الفارسية_بـ, جیحون]
Generated description
جیحون هو نهر تاريخي كبير في آسيا الوسطى يُعرف اليوم باسم نهر آموداريا وكان يشكّل أحد الحدود الطبيعية الشهيرة في الجغرافيا الإسلامية القديمة.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: يُعرف_في_المصادر_الفارسية_بـ
Context triple: [نهر جيحون, يُعرف_في_المصادر_الفارسية_بـ, جیحون]
  • A. knownInIslamAs
    Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
  • B. nameInMiddlePersian
    Indicates that an entity is referred to by a particular name when expressed in the Middle Persian language.
  • C. nameInOldPersian
    Indicates that an entity has a specific name as written or known in the Old Persian language.
  • D. hasPersianName chosen
    Indicates that an entity is associated with a name expressed in the Persian language.
  • E. hasLocalNameInPashto
    Indicates that an entity has a specific local name expressed in the Pashto language.
  • F. None of above.

Provenance (6 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_69f3495961d88190b16ea542c2c5f825 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3525ba72648190a421b2340b4442ad completed June 19, 2026, 11:19 a.m.
NEDg Description generation batch_6a35269b33708190b57524f61a445006 completed June 19, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a352766ac5c8190a15fb9939e4527e6 completed June 19, 2026, 11:26 a.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:28 a.m.