Triple

T13181869
Position Surface form Disambiguated ID Type / Status
Subject Gorski Kotar E313748 entity
Predicate hasTown P847 FINISHED
Object Skrad
Skrad is a small mountain town in Croatia’s Gorski Kotar region, known for its forested landscapes, hiking trails, and nearby natural attractions such as canyons and waterfalls.
 E1026881 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: Skrad | Statement: [Gorski Kotar, hasTown, Skrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skrad
Context triple: [Gorski Kotar, hasTown, Skrad]
  • A. Skodje
    Skodje is a village and former municipality in western Norway, known for its scenic fjord landscape and historic stone arch bridge.
  • B. Skopin
    Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
  • C. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • D. Saratak
    Saratak is a rural village located in Armenia's Shirak Province.
  • E. Skwentna
    Skwentna is a small, remote community in south-central Alaska known as a checkpoint on the Iditarod Trail Sled Dog Race and for its access to wilderness recreation.
  • 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: Skrad
Triple: [Gorski Kotar, hasTown, Skrad]
Generated description
Skrad is a small mountain town in Croatia’s Gorski Kotar region, known for its forested landscapes, hiking trails, and nearby natural attractions such as canyons and waterfalls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skrad
Target entity description: Skrad is a small mountain town in Croatia’s Gorski Kotar region, known for its forested landscapes, hiking trails, and nearby natural attractions such as canyons and waterfalls.
  • A. Skodje
    Skodje is a village and former municipality in western Norway, known for its scenic fjord landscape and historic stone arch bridge.
  • B. Skopin
    Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
  • C. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • D. Saratak
    Saratak is a rural village located in Armenia's Shirak Province.
  • E. Skwentna
    Skwentna is a small, remote community in south-central Alaska known as a checkpoint on the Iditarod Trail Sled Dog Race and for its access to wilderness recreation.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f707d9e48190b772520ca9f4ac2c completed May 3, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6f85149cc8190adf68387475d3286 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:15 p.m.