Triple

T14096515
Position Surface form Disambiguated ID Type / Status
Subject Hobyot language E339265 entity
Predicate hasAlternativeName P39 FINISHED
Object Hobyōt E347906 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: Hobyōt | Statement: [Hobyot language, hasAlternativeName, Hobyōt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hobyōt
Context triple: [Hobyot language, hasAlternativeName, Hobyōt]
  • A. Hobokan
    Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
  • B. Hobyot chosen
    Hobyot is a rare and severely endangered South Semitic language spoken by small communities in eastern Yemen and western Oman.
  • C. Hobyo
    Hobyo is a historic coastal town and port on the Indian Ocean in central Somalia, known for its strategic location and role in regional trade.
  • D. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • E. Hōan
    Hōan was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54fc136881908f0ff5cafa604811 completed May 8, 2026, 3:14 a.m.
Created at: April 9, 2026, 10:22 p.m.