Triple

T23504338
Position Surface form Disambiguated ID Type / Status
Subject Barisha, Idlib Governorate, Syria E572239 entity
Predicate hasArabicName P6450 FINISHED
Object باريشا
باريشا هي قرية سورية تقع في ريف محافظة إدلب شمال غرب البلاد قرب الحدود مع تركيا.
 E1589101 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: باريشا | Statement: [Barisha, Idlib Governorate, Syria, hasArabicName, باريشا]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: باريشا
Context triple: [Barisha, Idlib Governorate, Syria, hasArabicName, باريشا]
  • A. Tanuja
    Tanuja is a veteran Indian film actress known for her work in Hindi and Bengali cinema and as a prominent member of the Mukherjee-Samarth film family.
  • B. Nubeena
    Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
  • C. Nimrata
    Nimrata is a given name most prominently associated with Nimrata "Nikki" Haley, an American politician and former U.S. ambassador to the United Nations.
  • D. Gulbahar
    Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
  • E. Gulbahar
    Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
  • 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: باريشا
Triple: [Barisha, Idlib Governorate, Syria, hasArabicName, باريشا]
Generated description
باريشا هي قرية سورية تقع في ريف محافظة إدلب شمال غرب البلاد قرب الحدود مع تركيا.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: باريشا
Target entity description: باريشا هي قرية سورية تقع في ريف محافظة إدلب شمال غرب البلاد قرب الحدود مع تركيا.
  • A. Tanuja
    Tanuja is a veteran Indian film actress known for her work in Hindi and Bengali cinema and as a prominent member of the Mukherjee-Samarth film family.
  • B. Nubeena
    Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
  • C. Nimrata
    Nimrata is a given name most prominently associated with Nimrata "Nikki" Haley, an American politician and former U.S. ambassador to the United Nations.
  • D. Gulbahar
    Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
  • E. Gulbahar
    Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fedbec8190b183661edaba4cd4 completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8277b97481909b1405fd7469b910 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f2d4288190b0b5fd46d2a387bf completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7f09af48190b7bfdae25d2f286b completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 6:07 p.m.