Triple

T6984339
Position Surface form Disambiguated ID Type / Status
Subject Nawab E161924 entity
Predicate relatedTerm P37 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: [Nawab, relatedTerm, Emir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emir
Context triple: [Nawab, relatedTerm, 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. Mansur
    Mansur is an Arabic male given name meaning "victorious" or "one who is granted victory," commonly used across the Muslim world in various transliterated forms.
  • C. Al-Qa'im
    Al-Qa'im is a town in western Iraq near the Syrian border, known for its strategic location along the Euphrates River and its role in regional trade and conflict.
  • D. 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.
  • E. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7754c817c8190a8b17a5e2c4f1b05 completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:31 p.m.