Triple

T316088
Position Surface form Disambiguated ID Type / Status
Subject Kartvelebi E7709 entity
Predicate selfDesignation P974 FINISHED
Object Kartvelebi E7709 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: Kartvelebi | Statement: [Kartvelebi, selfDesignation, Kartvelebi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kartvelebi
Context triple: [Kartvelebi, selfDesignation, Kartvelebi]
  • A. Kartvelebi chosen
    Kartvelebi are an ethnic group native to the country of Georgia in the South Caucasus, known for their distinct Kartvelian language, rich Christian heritage, and longstanding cultural traditions.
  • B. Cailliau
    Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
  • C. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Tverya
    Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c41c00888190861d2b6d4bfc8904 completed March 1, 2026, 4:44 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.