Triple

T19735010
Position Surface form Disambiguated ID Type / Status
Subject king of Moab E473955 entity
Predicate capital P234 FINISHED
Object Dibon 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: Dibon | Statement: [king of Moab, capital, Dibon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dibon
Context triple: [king of Moab, capital, Dibon]
  • A. Dibon chosen
    Dibon was an ancient Moabite city east of the Dead Sea, known from biblical texts and archaeological remains including the famous Mesha Stele.
  • B. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • C. Dinsor
    Dinsor is a town in southwestern Somalia located inland in the Bay region.
  • D. Deran
    Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
  • E. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.