Triple

T213087
Position Surface form Disambiguated ID Type / Status
Subject Masjid al-Haram E4758 entity
Predicate contains P35 FINISHED
Object al-Marwah E28291 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: al-Marwah | Statement: [Masjid al-Haram, contains, al-Marwah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: al-Marwah
Context triple: [Masjid al-Haram, contains, al-Marwah]
  • A. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • B. al-Safa chosen
    Al-Safa is one of the two small hills inside the Masjid al-Haram in Mecca between which Muslims perform the ritual walk (sa'i) during Hajj and Umrah.
  • C. Zamzam Well
    Zamzam Well is a revered Islamic holy well in Mecca believed to be miraculously provided by God and a central site for pilgrims during the Hajj and Umrah.
  • D. Umm Salama
    Umm Salama was a prominent early Muslim woman and one of the most respected wives of the Prophet Muhammad, known for her wisdom, piety, and role in transmitting hadith.
  • E. Sawda bint Zamʿa
    Sawda bint Zamʿa was one of the early wives of the Prophet Muhammad, known for her piety, generosity, and role among the first Muslim women in Medina.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c313d108190a65d3e939f961bef completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3695b4f648190969ed240f1597866 completed Feb. 28, 2026, 10:16 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.