Triple

T2917820
Position Surface form Disambiguated ID Type / Status
Subject Megiddo E78648 entity
Predicate hasArabicName P6450 FINISHED
Object مجدو‎
مجدو‎ هي بلدة تاريخية في شمال فلسطين التاريخية قرب موقع تل مجيدو الشهير بآثاره القديمة وارتباطه الرمزي بمعركة هرمجدون.
E309869 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: مجدو‎ | Statement: [Megiddo, hasArabicName, مجدو‎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مجدو‎
Context triple: [Megiddo, hasArabicName, مجدو‎]
  • A. Maghi
    Maghi is a regional name for the Hindu harvest festival of Makar Sankranti, particularly observed in parts of North India.
  • B. Mebarak
    Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
  • C. Mālaqa
    Mālaqa is the historical Arabic name for the Spanish coastal city of Málaga, reflecting its period under Muslim rule in Al-Andalus.
  • D. Vi Moradi
    Vi Moradi is a Resistance spy and key character in the Star Wars universe, prominently featured in novels and in-person experiences at Star Wars: Galaxy’s Edge.
  • E. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • 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: مجدو‎
Triple: [Megiddo, hasArabicName, مجدو‎]
Generated description
مجدو‎ هي بلدة تاريخية في شمال فلسطين التاريخية قرب موقع تل مجيدو الشهير بآثاره القديمة وارتباطه الرمزي بمعركة هرمجدون.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: مجدو‎
Target entity description: مجدو‎ هي بلدة تاريخية في شمال فلسطين التاريخية قرب موقع تل مجيدو الشهير بآثاره القديمة وارتباطه الرمزي بمعركة هرمجدون.
  • A. Maghi
    Maghi is a regional name for the Hindu harvest festival of Makar Sankranti, particularly observed in parts of North India.
  • B. Mebarak
    Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
  • C. Mālaqa
    Mālaqa is the historical Arabic name for the Spanish coastal city of Málaga, reflecting its period under Muslim rule in Al-Andalus.
  • D. Vi Moradi
    Vi Moradi is a Resistance spy and key character in the Star Wars universe, prominently featured in novels and in-person experiences at Star Wars: Galaxy’s Edge.
  • E. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a41b4c81909d8ace8ab270ed3c completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562c5b5081908026b3f590b03aca completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b0613dfb048190b08b01837088b9dd completed March 10, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69b06514562881909d3b08af898406f7 completed March 10, 2026, 6:38 p.m.
Created at: March 8, 2026, 2:54 p.m.