Triple

T19780375
Position Surface form Disambiguated ID Type / Status
Subject D25 E475114 entity
Predicate connectsSettlement P8239 FINISHED
Object Karlobag 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: Karlobag | Statement: [D25, connectsSettlement, Karlobag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlobag
Context triple: [D25, connectsSettlement, Karlobag]
  • A. Karlobag chosen
    Karlobag is a small coastal town in Croatia on the Adriatic Sea, known for its scenic setting beneath the Velebit mountain range and as a stop along major coastal travel routes.
  • B. Grožnjan
    Grožnjan is a small medieval hilltop town in Istria, Croatia, renowned as an artists’ colony and cultural center.
  • C. Borča
    Borča is a suburban neighborhood and municipality of Belgrade, Serbia, situated on the left bank of the Danube and known as a rapidly developing residential area.
  • D. Radovljica
    Radovljica is a historic town in northwestern Slovenia known for its well-preserved medieval old town and cultural heritage.
  • E. Trebižat
    Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.