Triple

T23504147
Position Surface form Disambiguated ID Type / Status
Subject Split E572234 entity
Predicate nearbyIslands P19482 FINISHED
Object Vis NE NERFINISHED

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: Vis | Statement: [Split, nearbyIslands, Vis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vis
Context triple: [Split, nearbyIslands, Vis]
  • A. Vis chosen
    Vis is a Croatian island in the Adriatic Sea known for its unspoiled nature, historic towns, and former role as a strategic military base.
  • B. Vis
    Vis is a river in southern France known for carving the dramatic Cirque de Navacelles canyon through the limestone plateaus of the Cévennes region.
  • C. VIS
    VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
  • D. VIS
    VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
  • E. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fedbec8190b183661edaba4cd4 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.