Triple

T9270155
Position Surface form Disambiguated ID Type / Status
Subject جبل عرفة E222803 entity
Predicate اسم آخر P744 FINISHED
Object جبل عرفات E222803 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: جبل عرفات | Statement: [جبل عرفة, اسم آخر, جبل عرفات]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: جبل عرفات
Context triple: [جبل عرفة, اسم آخر, جبل عرفات]
  • A. جبل عرفة chosen
    جبل عرفة هو جبل يقع قرب مكة المكرمة في المملكة العربية السعودية ويعد من أهم مشاعر الحج حيث يقف عليه الحجاج في يوم عرفة.
  • B. Jabal al-Mukabber
    Jabal al-Mukabber is a predominantly Palestinian neighborhood situated on a hillside in southern East Jerusalem, overlooking the Old City and surrounding areas.
  • C. Jabal al-Nour
    Jabal al-Nour is a mountain near Mecca in Saudi Arabia renowned as the site where the Prophet Muhammad is believed to have received his first revelation.
  • D. Jabal an Nabi Shu'ayb
    Jabal an Nabi Shu'ayb is the highest mountain in Yemen and the Arabian Peninsula, renowned for its towering elevation and religious significance.
  • E. Qurnat as Sawda
    Qurnat as Sawda is the tallest mountain peak in Lebanon and the Levant, rising to over 3,000 meters in the Mount Lebanon range.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078525308190abfb883123742d3f completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2ca500819083ef4aa37f3e3a7f completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:33 p.m.