Triple

T15332009
Position Surface form Disambiguated ID Type / Status
Subject Eid E366557 entity
Predicate hasSettlement P1068 FINISHED
Object Lote
Lote is a settlement associated with the Eid municipality in Norway.
 E1149862 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: Lote | Statement: [Eid, hasSettlement, Lote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lote
Context triple: [Eid, hasSettlement, Lote]
  • A. La Puntilla
    La Puntilla is an affluent urban parish in Ecuador known for its residential developments, shopping centers, and proximity to the city of Guayaquil.
  • B. La Riposa
    La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
  • C. Los Toldos
    Los Toldos is a small town in northwestern Argentina known as the closest settlement to the remote Baritú National Park in the Yungas forest region.
  • D. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • E. Soledades
    Soledades is a highly influential Baroque Spanish poem by Luis de Góngora, renowned for its complex, ornate language and central role in the culteranismo literary style.
  • 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: Lote
Triple: [Eid, hasSettlement, Lote]
Generated description
Lote is a settlement associated with the Eid municipality in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lote
Target entity description: Lote is a settlement associated with the Eid municipality in Norway.
  • A. La Puntilla
    La Puntilla is an affluent urban parish in Ecuador known for its residential developments, shopping centers, and proximity to the city of Guayaquil.
  • B. La Riposa
    La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
  • C. Los Toldos
    Los Toldos is a small town in northwestern Argentina known as the closest settlement to the remote Baritú National Park in the Yungas forest region.
  • D. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • E. Soledades
    Soledades is a highly influential Baroque Spanish poem by Luis de Góngora, renowned for its complex, ornate language and central role in the culteranismo literary style.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b2ea5c8190b6e5f3fcbd7c265f completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa54397c81909c9bfb8c0553b3d1 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb04d7e4819084ac10e05dccb3e3 completed May 9, 2026, 9:14 a.m.
Created at: April 10, 2026, 3:17 a.m.