Triple

T8390525
Position Surface form Disambiguated ID Type / Status
Subject Nimba County E197930 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Saclepea E730798 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: Saclepea | Statement: [Nimba County, hasUrbanCenter, Saclepea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saclepea
Context triple: [Nimba County, hasUrbanCenter, Saclepea]
  • A. Saclepea chosen
    Saclepea is a major urban center in northeastern Liberia known for its role as a commercial and transportation hub in Nimba County.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Melesias
    Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
  • D. Panopeus
    Panopeus was an ancient town in central Greece, in the region of Phocis, known from Greek mythology and classical literature.
  • E. Deimas
    Deimas is a minor figure in Greek mythology known primarily as a descendant of the Trojan royal line through Dardanus.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810c5c5c81908e124c64911c4e6c completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02cb3a1481908d30993d47c70039 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:03 p.m.