Triple

T2033766
Position Surface form Disambiguated ID Type / Status
Subject Ge'ez E44574 entity
Predicate ISO639-2Code P208 FINISHED
Object gez E68214 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: gez | Statement: [Ge'ez, ISO639-2Code, gez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gez
Context triple: [Ge'ez, ISO639-2Code, gez]
  • A. Geg
    Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • B. .ge
    .ge is the country code top-level domain (ccTLD) assigned to websites associated with Georgia.
  • C. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • D. Geez chosen
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • E. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb93387488190ac9d8d2746451f2e completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff03d3c8190adef0224aac989bd completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.