Triple

T3709266
Position Surface form Disambiguated ID Type / Status
Subject მთაწმინდის პანთეონი E80967 entity
Predicate burialPlaceOf P196 FINISHED
Object აკაკი წერეთელი E318828 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: აკაკი წერეთელი | Statement: [მთაწმინდის პანთეონი, burialPlaceOf, აკაკი წერეთელი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: აკაკი წერეთელი
Context triple: [მთაწმინდის პანთეონი, burialPlaceOf, აკაკი წერეთელი]
  • A. აკაკი წერეთელი chosen
    აკაკი წერეთელი was a prominent 19th-century Georgian poet, public figure, and national liberation activist, regarded as one of the key figures of Georgian literature.
  • B. Akaki
    Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
  • C. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • D. Aku Aku
    Aku Aku is a sentient wooden mask who guides and protects Crash Bandicoot throughout the Crash Bandicoot video game series.
  • E. Masayuki Kakefu
    Masayuki Kakefu is a former Japanese professional baseball slugger and third baseman best known for his starring role with the Hanshin Tigers in the 1970s and 1980s.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc58233788190be3b912a50f61443 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0216bc8190b44d2950b7cb24c3 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.