Triple

T12639006
Position Surface form Disambiguated ID Type / Status
Subject An-Naziat E301841 entity
Predicate followedBy P78 FINISHED
Object Abasa E298842 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: Abasa | Statement: [An-Naziat, followedBy, Abasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abasa
Context triple: [An-Naziat, followedBy, Abasa]
  • A. Abasa chosen
    Abasa is the 80th chapter of the Qur'an, known for its admonition regarding a moment when the Prophet Muhammad frowned at a blind man seeking guidance.
  • B. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • C. Abas
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • D. 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.
  • E. Abdah
    Abdah is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically centered in the Arabian Peninsula and surrounding regions.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:16 p.m.