Triple

T16308347
Position Surface form Disambiguated ID Type / Status
Subject Gavrilo E395977 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Gavro E395978 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: Gavro | Statement: [Gavrilo, hasDiminutiveForm, Gavro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavro
Context triple: [Gavrilo, hasDiminutiveForm, Gavro]
  • A. Gavro chosen
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • B. Gavar
    Gavar is a town in Armenia that serves as a regional center near Lake Sevan in the Gegharkunik Province.
  • C. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • D. Ogulin
    Ogulin is a historic town in central Croatia known for its medieval Frankopan castle, surrounding mountains, and rich folklore heritage.
  • E. Giric
    Giric was a 9th-century king of the Picts or early Scots, remembered as a shadowy and possibly legendary ruler whose reign is associated with Eochaid of Scotland.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d776808190a7c9918477f07216 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa517908190a29caa0156b1d1cd completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.