Triple

T3252557
Position Surface form Disambiguated ID Type / Status
Subject Geʽez E68214 entity
Predicate influenced P9 FINISHED
Object Gurage languages E87295 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: Gurage languages | Statement: [Geʽez, influenced, Gurage languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurage languages
Context triple: [Geʽez, influenced, Gurage languages]
  • A. Gurage languages chosen
    The Gurage languages are a group of closely related South Ethiosemitic languages spoken primarily by the Gurage people in central and southwestern Ethiopia.
  • B. Omotik–Datooga languages
    The Omotik–Datooga languages are a small subgroup of Southern Nilotic languages spoken by pastoralist communities in parts of Kenya and Tanzania.
  • C. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • D. Badaga language
    Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • E. Gumuz languages
    Gumuz languages are a small group of closely related, under-documented languages spoken primarily by the Gumuz people in parts of Ethiopia and Sudan.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf440bb88190a2450405afae7f1f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776e9ad88190a59edf4735703e8d completed March 12, 2026, 8:21 a.m.
Created at: March 8, 2026, 3:09 p.m.