Triple

T22252834
Position Surface form Disambiguated ID Type / Status
Subject Yatta E550021 entity
Predicate hasNearbyLocality P3883 FINISHED
Object as-Samu 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: as-Samu | Statement: [Yatta, hasNearbyLocality, as-Samu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: as-Samu
Context triple: [Yatta, hasNearbyLocality, as-Samu]
  • A. as-Samiri
    As-Samiri is a figure mentioned in the Qur’an, traditionally portrayed as the person who led the Israelites into worshipping the golden calf during Prophet Musa’s (Moses’) absence.
  • B. As-Samu chosen
    As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
  • C. Samer
    Samer is a small commune in northern France located within the Pas-de-Calais department.
  • D. Shammua
    Shammua is a biblical figure mentioned in the Old Testament, known primarily as one of the sons of David.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c003548190889860d6163eb873 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.