Triple

T4396840
Position Surface form Disambiguated ID Type / Status
Subject Upper Svaneti E99511 entity
Predicate traditionalLanguage P6149 FINISHED
Object Svan E278111 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: Svan | Statement: [Upper Svaneti, traditionalLanguage, Svan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svan
Context triple: [Upper Svaneti, traditionalLanguage, Svan]
  • A. Svan people chosen
    The Svan people are an indigenous ethnic subgroup of Georgians from the remote, mountainous Svaneti region of northwestern Georgia, known for their distinct culture, traditions, and historical tower villages.
  • B. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • C. Svear
    Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
  • D. Svan culture
    Svan culture is the traditional highland culture of the Svan people in northwestern Georgia, known for its ancient language, distinctive tower architecture, polyphonic singing, and rich mountain customs.
  • E. Segestani
    The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352aca86c8190b5af7e6600072066 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135ecdc08190b2a7458614cf4c54 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:20 p.m.