Triple

T11348051
Position Surface form Disambiguated ID Type / Status
Subject Şanlıurfa E268771 entity
Predicate historicalName P65 FINISHED
Object Ruha
Ruha is the historical name of the ancient city now known as Şanlıurfa in southeastern Turkey, a long-inhabited center of Mesopotamian and early Christian civilization.
 E921268 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: Ruha | Statement: [Şanlıurfa, historicalName, Ruha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruha
Context triple: [Şanlıurfa, historicalName, Ruha]
  • A. Rehna
    Rehna is a small town in the district of Nordwestmecklenburg in the northern German state of Mecklenburg-Vorpommern.
  • B. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • C. Ruz
    Ruz is a Spanish-language surname most notably associated with the family of Cuban leader Fidel Castro through his mother, Lina Ruz González.
  • D. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • E. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • 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: Ruha
Triple: [Şanlıurfa, historicalName, Ruha]
Generated description
Ruha is the historical name of the ancient city now known as Şanlıurfa in southeastern Turkey, a long-inhabited center of Mesopotamian and early Christian civilization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruha
Target entity description: Ruha is the historical name of the ancient city now known as Şanlıurfa in southeastern Turkey, a long-inhabited center of Mesopotamian and early Christian civilization.
  • A. Rehna
    Rehna is a small town in the district of Nordwestmecklenburg in the northern German state of Mecklenburg-Vorpommern.
  • B. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • C. Ruz
    Ruz is a Spanish-language surname most notably associated with the family of Cuban leader Fidel Castro through his mother, Lina Ruz González.
  • D. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • E. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55649a9188190911608fef5894bd8 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562bb085c8190942766d12d838798 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e569f0e6948190b285ca84aca03771 completed April 19, 2026, 11:49 p.m.
Created at: April 8, 2026, 9:33 p.m.