Triple

T12027776
Position Surface form Disambiguated ID Type / Status
Subject יִשְׁבָּק E286321 entity
Predicate sibling P363 FINISHED
Object Shuah E51336 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: Shuah | Statement: [יִשְׁבָּק, sibling, Shuah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shuah
Context triple: [יִשְׁבָּק, sibling, Shuah]
  • A. Shuah chosen
    Shuah is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had with Keturah.
  • B. Shana
    Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
  • C. Sivan
    Sivan is the third month of the Hebrew calendar, traditionally associated with the festival of Shavuot and the giving of the Torah.
  • D. Asharh
    Asharh is a monsoon-season month in the Bengali calendar, typically spanning late June to mid-July in the Gregorian calendar.
  • E. Subiyah
    Subiyah is a sparsely populated area in northern Kuwait, located on the north shore of Kuwait Bay and known for its strategic position and development projects linked to major infrastructure like the Sheikh Jaber Al-Ahmad Al-Sabah Causeway.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.