Triple

T9422344
Position Surface form Disambiguated ID Type / Status
Subject Paremoude E227183 entity
Predicate precedes P97 FINISHED
Object Pashons E227184 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: Pashons | Statement: [Paremoude, precedes, Pashons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pashons
Context triple: [Paremoude, precedes, Pashons]
  • A. Pashons chosen
    Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
  • B. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • C. Parow
    Parow is a suburb of Cape Town in the Western Cape, South Africa, known as a residential and commercial area within the greater Cape Town metropolitan region.
  • D. Pashash
    Pashash is an important archaeological site in the northern highlands of Peru, notable for its elaborate stone architecture and funerary structures associated with the ancient Recuay culture.
  • E. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c27c8cc8190a11162c10c33b17e completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107d290148190855b8d50eb80c591 completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:48 p.m.