Triple

T9337792
Position Surface form Disambiguated ID Type / Status
Subject Hajj sites around Mecca E224688 entity
Predicate hasSite P1205 FINISHED
Object Miqat Dhul-Hulayfah E169426 NE FINISHED

How this triple was built (2 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: Miqat Dhul-Hulayfah | Statement: [Hajj sites around Mecca, hasSite, Miqat Dhul-Hulayfah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miqat Dhul-Hulayfah
Context triple: [Hajj sites around Mecca, hasSite, Miqat Dhul-Hulayfah]
  • A. Miqat chosen
    Miqat is the designated boundary point around Mecca where pilgrims must enter the state of ihram before performing Hajj or Umrah.
  • B. منطقة عرفة
    منطقة عرفة هي المنطقة المحيطة بجبل عرفة قرب مكة المكرمة، والتي تُعد من أهم مشاعر الحج حيث يقف فيها الحجاج يوم عرفة لأداء ركن الحج الأعظم.
  • C. Sakiat Mekki
    Sakiat Mekki is a metro station on Cairo's Line 2 serving the Giza area of Greater Cairo, Egypt.
  • D. Arafa
    Arafa is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," depicted as a cunning and ambitious figure whose actions dramatically alter the fate of the Gebelawi family.
  • E. Khuzaʿa
    Khuzaʿa was an influential Arab tribe of western Arabia, historically prominent around Mecca and involved in key pre-Islamic and early Islamic events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37f312408190b5501432a6a855b7 completed April 1, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3e28a488190aa9d70b5ceed8727 completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:40 p.m.