Triple

T30501303
Position Surface form Disambiguated ID Type / Status
Subject الشرقاط E776142 entity
Predicate قريبة من P61362 FINISHED
Object مدينة بيجي
مدينة بيجي هي مدينة عراقية صناعية في محافظة صلاح الدين تشتهر بمصفاة بيجي النفطية وكانت مسرحًا لأحداث بارزة خلال الصراعات الأخيرة في البلاد.
 E1917317 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: مدينة بيجي | Statement: [الشرقاط, قريبة من, مدينة بيجي]
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: مدينة بيجي
Triple: [الشرقاط, قريبة من, مدينة بيجي]
Generated description
مدينة بيجي هي مدينة عراقية صناعية في محافظة صلاح الدين تشتهر بمصفاة بيجي النفطية وكانت مسرحًا لأحداث بارزة خلال الصراعات الأخيرة في البلاد.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: قريبة من
Context triple: [الشرقاط, قريبة من, مدينة بيجي]
  • A. كانت_قريبة_من
    Indicates that one entity was physically or metaphorically close to another entity in space, time, or relationship.
  • B. near
    Indicates that one entity is located at a short distance from another entity in space or position.
  • C. nearbyTo chosen
    Indicates that one entity is located close in distance or position to another entity.
  • D. nearPass
    Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
  • E. definedNear
    Indicates that one entity is defined in close spatial or contextual proximity to another entity.
  • 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_69f22498c5d481908aaea89e6fab8280 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687805b048190824b5c0bc8d09bab completed May 2, 2026, 11:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac34e2cc81908b00ea172a52137e completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27ad12e04881909ed3d8bc5f38b65d completed June 9, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a27ae0e5be0819080fd9538605b65b7 completed June 9, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69f67e42d6688190b60e91d2c388c555 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:14 p.m.