Triple

T3163083
Position Surface form Disambiguated ID Type / Status
Subject Amir E66146 entity
Predicate transliterationVariant P5923 FINISHED
Object Emir E289417 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: Emir | Statement: [Amir, transliterationVariant, Emir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emir
Context triple: [Amir, transliterationVariant, Emir]
  • A. Emirs chosen
    Emirs are traditional Muslim rulers or leaders, particularly in parts of West Africa and the Middle East, who hold significant religious, cultural, and sometimes political authority within their communities.
  • B. El Khalifa
    El Khalifa is a historic district in Cairo, Egypt, known for its dense urban fabric, Islamic architecture, and significant religious and cultural landmarks.
  • C. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • D. Al-Ruʾāsī
    Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
  • E. Ismail
    Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61a4b8481908897a8d39d94c2f4 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b4e09388190b41da913f677ffb7 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:06 p.m.