Triple

T13182238
Position Surface form Disambiguated ID Type / Status
Subject Rab E313756 entity
Predicate hasSettlement P1068 FINISHED
Object Lopar
Lopar is a coastal village and popular tourist resort located on the northern part of the Croatian island of Rab, known for its sandy beaches such as Paradise Beach.
E1026907 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: Lopar | Statement: [Rab, hasSettlement, Lopar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lopar
Context triple: [Rab, hasSettlement, Lopar]
  • A. Lopra
    Lopra is a small village located on the island of Suðuroy in the Faroe Islands.
  • B. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • C. Loperhet
    Loperhet is a coastal commune in the Finistère department of Brittany in northwestern France, situated near the Rade de Brest.
  • D. Lopik
    Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
  • E. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • 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: Lopar
Triple: [Rab, hasSettlement, Lopar]
Generated description
Lopar is a coastal village and popular tourist resort located on the northern part of the Croatian island of Rab, known for its sandy beaches such as Paradise Beach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lopar
Target entity description: Lopar is a coastal village and popular tourist resort located on the northern part of the Croatian island of Rab, known for its sandy beaches such as Paradise Beach.
  • A. Lopra
    Lopra is a small village located on the island of Suðuroy in the Faroe Islands.
  • B. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • C. Loperhet
    Loperhet is a coastal commune in the Finistère department of Brittany in northwestern France, situated near the Rade de Brest.
  • D. Lopik
    Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
  • E. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • 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.