Triple

T10769226
Position Surface form Disambiguated ID Type / Status
Subject Moianès E254030 entity
Predicate contains P35 FINISHED
Object Calders
Calders is a small municipality in the Moianès comarca of central Catalonia, Spain, known for its rural landscape and historic architecture.
E884788 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: Calders | Statement: [Moianès, contains, Calders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calders
Context triple: [Moianès, contains, Calders]
  • A. Calderwood
    Calderwood is a scenic woodland and river gorge area that forms part of Almondell and Calderwood Country Park in West Lothian, Scotland.
  • B. Calver
    Calver is a small village in Derbyshire, England, situated in the Peak District and known for its scenic rural setting and historic stone buildings.
  • C. Kincorth
    Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
  • D. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • E. Kelshall
    Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
  • 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: Calders
Triple: [Moianès, contains, Calders]
Generated description
Calders is a small municipality in the Moianès comarca of central Catalonia, Spain, known for its rural landscape and historic architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calders
Target entity description: Calders is a small municipality in the Moianès comarca of central Catalonia, Spain, known for its rural landscape and historic architecture.
  • A. Calderwood
    Calderwood is a scenic woodland and river gorge area that forms part of Almondell and Calderwood Country Park in West Lothian, Scotland.
  • B. Calver
    Calver is a small village in Derbyshire, England, situated in the Peak District and known for its scenic rural setting and historic stone buildings.
  • C. Kincorth
    Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
  • D. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • E. Kelshall
    Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.