Triple

T8955598
Position Surface form Disambiguated ID Type / Status
Subject al-Natsheh E213463 entity
Predicate hasTransliterationVariant P5923 FINISHED
Object al-Natshah E213463 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-Natshah | Statement: [al-Natsheh, hasTransliterationVariant, al-Natshah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: al-Natshah
Context triple: [al-Natsheh, hasTransliterationVariant, al-Natshah]
  • A. al-Natsha
    al-Natsha is an alternative transliteration of the Arabic surname al-Natsheh, commonly borne by Palestinian families.
  • B. al‑Najāshī
    al-Najāshī is the title used in Islamic tradition for the just Christian king of Abyssinia who granted refuge to early Muslim emigrants from Mecca.
  • C. al-Natsheh chosen
    al-Natsheh is an Arabic family name associated with Palestinian individuals and families, including political and public figures.
  • D. Naser
    Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
  • E. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6726cec48190a900ae52b1522adb completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb887378819093a48d7035609951 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 7 p.m.