Triple

T4954075
Position Surface form Disambiguated ID Type / Status
Subject Sameba Cathedral E111238 entity
Predicate shortName P43 FINISHED
Object Sameba E456726 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: Sameba | Statement: [Sameba Cathedral, shortName, Sameba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sameba
Context triple: [Sameba Cathedral, shortName, Sameba]
  • A. Sameba chosen
    Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
  • B. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • C. Sambali
    Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
  • D. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • E. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b945c0819082723712905f8295 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81da92b48190ab41ad8f7a891544 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:31 p.m.