Triple

T20649833
Position Surface form Disambiguated ID Type / Status
Subject Anas al-Abdah E507459 entity
Predicate familyName P18 FINISHED
Object al-Abdah NE NERFINISHED

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-Abdah | Statement: [Anas al-Abdah, familyName, al-Abdah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: al-Abdah
Context triple: [Anas al-Abdah, familyName, al-Abdah]
  • A. al-Abdah chosen
    al-Abdah is an Arabic family name associated with Syrian political figure Anas al-Abdah.
  • B. Abdah
    Abdah is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically centered in the Arabian Peninsula and surrounding regions.
  • C. Al-Abwa
    Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
  • D. Abu Madyan
    Abu Madyan was a prominent 12th-century Andalusian-Maghrebi Sufi master and spiritual teacher whose doctrines deeply shaped later Islamic mysticism.
  • E. ʿAbasa
    ʿAbasa is the 80th chapter (sūrah) of the Qur’an, known for its opening verse describing a man who frowned and turned away from a blind believer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.