Triple

T19784348
Position Surface form Disambiguated ID Type / Status
Subject Geshur E475219 entity
Predicate bordered P224 FINISHED
Object Argob 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: Argob | Statement: [Geshur, bordered, Argob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argob
Context triple: [Geshur, bordered, Argob]
  • A. Argob chosen
    Argob is a region in the ancient kingdom of Bashan, noted in biblical tradition for its fortified cities and association with King Og.
  • B. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • C. Rehling
    Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Argoon
    Argoon is a rural locality situated within the Banana Shire region of Queensland, Australia.
  • E. Chaldoran
    Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538715b8819080c6930e7d16ab58 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.