Triple

T4700549
Position Surface form Disambiguated ID Type / Status
Subject Krk E104257 entity
Predicate hasSettlement P1068 FINISHED
Object Pinezići
Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
E464310 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: Pinezići | Statement: [Krk, hasSettlement, Pinezići]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinezići
Context triple: [Krk, hasSettlement, Pinezići]
  • A. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Pišnica
    Pišnica is a mountain river in northwestern Slovenia, known for its clear alpine waters and scenic course through the Julian Alps near Kranjska Gora.
  • D. Pazin
    Pazin is a historic town in central Istria, Croatia, known for its medieval castle perched above a dramatic karst gorge.
  • E. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • 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: Pinezići
Triple: [Krk, hasSettlement, Pinezići]
Generated description
Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pinezići
Target entity description: Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
  • A. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Pišnica
    Pišnica is a mountain river in northwestern Slovenia, known for its clear alpine waters and scenic course through the Julian Alps near Kranjska Gora.
  • D. Pazin
    Pazin is a historic town in central Istria, Croatia, known for its medieval castle perched above a dramatic karst gorge.
  • E. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1062fa8c81909263e6757ef7c2d5 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be1485bcf0819096693abc5fbf34e3 completed March 21, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69be153db02881908a28b3ede1fdcb54 completed March 21, 2026, 3:49 a.m.
Created at: March 20, 2026, 1:17 p.m.