Triple

T15892494
Position Surface form Disambiguated ID Type / Status
Subject Namoluk Atoll E385360 entity
Predicate hasIsland P970 FINISHED
Object Lugur
Lugur is one of the small islands that make up Namoluk Atoll in the Federated States of Micronesia.
 E1182721 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: Lugur | Statement: [Namoluk Atoll, hasIsland, Lugur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lugur
Context triple: [Namoluk Atoll, hasIsland, Lugur]
  • A. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • B. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • C. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • D. Gurune
    Gurune is a Gur language spoken primarily in northern Ghana and neighboring regions, known for its rich oral traditions and tonal phonology.
  • E. Gucun
    Gucun is a town in Shanghai, China, known for giving its name to the large urban Gucun Park.
  • 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: Lugur
Triple: [Namoluk Atoll, hasIsland, Lugur]
Generated description
Lugur is one of the small islands that make up Namoluk Atoll in the Federated States of Micronesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lugur
Target entity description: Lugur is one of the small islands that make up Namoluk Atoll in the Federated States of Micronesia.
  • A. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • B. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • C. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • D. Gurune
    Gurune is a Gur language spoken primarily in northern Ghana and neighboring regions, known for its rich oral traditions and tonal phonology.
  • E. Gucun
    Gucun is a town in Shanghai, China, known for giving its name to the large urban Gucun Park.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561f515081908ba4e68e1347a881 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1b0ac6481908d2e6106c0984d21 completed May 9, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69ffb2461ea48190ba05f7da71b0f80f completed May 9, 2026, 10:16 p.m.
Created at: April 10, 2026, 4:51 a.m.