Triple

T23109202
Position Surface form Disambiguated ID Type / Status
Subject Rab archipelago E576267 entity
Predicate hasIsland P970 FINISHED
Object Sridnjak Mali 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: Sridnjak Mali | Statement: [Rab archipelago, hasIsland, Sridnjak Mali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sridnjak Mali
Context triple: [Rab archipelago, hasIsland, Sridnjak Mali]
  • A. Sridnjak chosen
    Sridnjak is a small Croatian island located within the Rab archipelago in the Adriatic Sea.
  • B. Jagodnjak
    Jagodnjak is a village and municipality located in the Baranja region of northeastern Croatia, near the border with Hungary and Serbia.
  • C. Kornić
    Kornić is a small coastal village on the Croatian island of Krk, known for its traditional stone architecture and views over the Bay of Punat.
  • D. Rošnjak
    Rošnjak is a small, secluded waterfall located within Croatia’s Krka National Park, known for its tranquil setting and natural beauty.
  • E. Slunjčica
    Slunjčica is a picturesque karst river in central Croatia known for its clear turquoise waters, waterfalls, and scenic canyon landscapes near the town of Slunj.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0d3d4881908e32837b3fbbb406 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.