Triple

T7347280
Position Surface form Disambiguated ID Type / Status
Subject ميت رهينة E169410 entity
Predicate builtOnSiteOf P2012 FINISHED
Object منف
منف هي مدينة مصرية قديمة كانت عاصمة تاريخية لمصر ومركزًا دينيًا وسياسيًا مهمًا خاصة لعبادة الإله بتاح.
 E659435 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: منف | Statement: [ميت رهينة, builtOnSiteOf, منف]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: منف
Context triple: [ميت رهينة, builtOnSiteOf, منف]
  • A. Mianeh
    Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
  • B. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • C. Миџор
    Миџор је највиши врх Старе планине у Србији, смештен на граници са Бугарском и познат по планинарењу и живописним планинским пејзажима.
  • D. Ghanayem
    Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
  • E. Manbij
    Manbij is a strategically important, ethnically diverse city in northern Syria that has served as a key political and military hub within the Autonomous Administration of North and East Syria.
  • 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: منف
Triple: [ميت رهينة, builtOnSiteOf, منف]
Generated description
منف هي مدينة مصرية قديمة كانت عاصمة تاريخية لمصر ومركزًا دينيًا وسياسيًا مهمًا خاصة لعبادة الإله بتاح.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: منف
Target entity description: منف هي مدينة مصرية قديمة كانت عاصمة تاريخية لمصر ومركزًا دينيًا وسياسيًا مهمًا خاصة لعبادة الإله بتاح.
  • A. Mianeh
    Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
  • B. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • C. Миџор
    Миџор је највиши врх Старе планине у Србији, смештен на граници са Бугарском и познат по планинарењу и живописним планинским пејзажима.
  • D. Ghanayem
    Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
  • E. Manbij
    Manbij is a strategically important, ethnically diverse city in northern Syria that has served as a key political and military hub within the Autonomous Administration of North and East Syria.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f14f308190a9e5cb76c7790e49 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa916ac881909acee8184b71dc85 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fb05966c819089f47be0b9d32cb2 completed March 28, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69c7fddb63908190a5123ed8d7c9be1f completed March 28, 2026, 4:12 p.m.
Created at: March 27, 2026, 3:05 p.m.