Triple

T4086315
Position Surface form Disambiguated ID Type / Status
Subject Split E87591 entity
Predicate nearbyIsland P2064 FINISHED
Object Šolta
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
 E413653 NE FINISHED

How this triple was built (4 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: Šolta | Statement: [Split, nearbyIsland, Šolta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Šolta
Context triple: [Split, nearbyIsland, Šolta]
  • A. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • E. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Šolta
Triple: [Split, nearbyIsland, Šolta]
Generated description
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Šolta
Target entity description: Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • A. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • E. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • F. None of above. chosen

Provenance (5 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7ceeb48190807f0f5078ccfa12 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6335c4819093538f261a5093b3 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56f249fa08190b14793f298ed160c completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56f91065c8190bd6767249109d715 completed March 14, 2026, 2:24 p.m.
Created at: March 9, 2026, 3:39 p.m.