Triple

T17062077
Position Surface form Disambiguated ID Type / Status
Subject سد الطبقة E413983 entity
Predicate locatedUpstreamOf P5955 FINISHED
Object مدينة الرقة
مدينة الرقة هي مدينة سورية تاريخية على نهر الفرات في شمال البلاد، اشتهرت كعاصمة للخلافة العباسية لفترة وجيزة ثم برزت حديثًا بسبب موقعها الاستراتيجي وأحداث الحرب السورية.
E1247667 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: مدينة الرقة | Statement: [سد الطبقة, locatedUpstreamOf, مدينة الرقة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مدينة الرقة
Context triple: [سد الطبقة, locatedUpstreamOf, مدينة الرقة]
  • A. Maidin
    Maidin is a Malay family name notably borne by Rashid Maidin, a prominent figure in Malaysian political history.
  • B. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • C. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • D. Balad
    Balad is an Israeli Arab political party known for advocating Palestinian national identity and a binational state framework within Israel.
  • E. المسد
    المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
  • 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: مدينة الرقة
Triple: [سد الطبقة, locatedUpstreamOf, مدينة الرقة]
Generated description
مدينة الرقة هي مدينة سورية تاريخية على نهر الفرات في شمال البلاد، اشتهرت كعاصمة للخلافة العباسية لفترة وجيزة ثم برزت حديثًا بسبب موقعها الاستراتيجي وأحداث الحرب السورية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: مدينة الرقة
Target entity description: مدينة الرقة هي مدينة سورية تاريخية على نهر الفرات في شمال البلاد، اشتهرت كعاصمة للخلافة العباسية لفترة وجيزة ثم برزت حديثًا بسبب موقعها الاستراتيجي وأحداث الحرب السورية.
  • A. Maidin
    Maidin is a Malay family name notably borne by Rashid Maidin, a prominent figure in Malaysian political history.
  • B. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • C. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • D. Balad
    Balad is an Israeli Arab political party known for advocating Palestinian national identity and a binational state framework within Israel.
  • E. المسد
    المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7dea7481909e3e0bc836d27336 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234be4e4819084701902e7bd3a27 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a0124869c2c8190b84ed4d46492528a completed May 11, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0124f59490819081e8dc644da92ed6 completed May 11, 2026, 12:38 a.m.
Created at: April 10, 2026, 5:34 a.m.