Triple

T10274849
Position Surface form Disambiguated ID Type / Status
Subject Dar Batha E240935 entity
Predicate alsoKnownAs P39 FINISHED
Object Dar el-Batha
Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
 E868883 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: Dar el-Batha | Statement: [Dar Batha, alsoKnownAs, Dar el-Batha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dar el-Batha
Context triple: [Dar Batha, alsoKnownAs, Dar el-Batha]
  • A. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • B. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • C. Medjez el-Bab
    Medjez el-Bab is a historic town in northern Tunisia known for its strategic location on the Medjerda River and its role in World War II’s North African campaign.
  • D. Kafr Saad
    Kafr Saad is a town in northeastern Egypt situated within the Nile Delta region.
  • E. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • 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: Dar el-Batha
Triple: [Dar Batha, alsoKnownAs, Dar el-Batha]
Generated description
Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dar el-Batha
Target entity description: Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
  • A. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • B. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • C. Medjez el-Bab
    Medjez el-Bab is a historic town in northern Tunisia known for its strategic location on the Medjerda River and its role in World War II’s North African campaign.
  • D. Kafr Saad
    Kafr Saad is a town in northeastern Egypt situated within the Nile Delta region.
  • E. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28a9c508190824867c04e8dcbe7 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d66ae248190b8af31b032f9f857 completed April 10, 2026, 2:47 p.m.
NEDg Description generation batch_69d9107c75108190994939ab46aa642f completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d9154c922c81909991f87f89c083cd completed April 10, 2026, 3:20 p.m.
Created at: April 6, 2026, 11:36 a.m.