Triple

T3873738
Position Surface form Disambiguated ID Type / Status
Subject Foix E92446 entity
Predicate twinnedWith P1072 FINISHED
Object Alcover
Alcover is a municipality in the province of Tarragona, Catalonia, Spain, known for its historic architecture and proximity to the Prades Mountains.
 E395507 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: Alcover | Statement: [Foix, twinnedWith, Alcover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alcover
Context triple: [Foix, twinnedWith, Alcover]
  • A. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
  • B. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • C. Delaford
    Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
  • D. Collishaw
    Collishaw is a surname most notably associated with Raymond Collishaw, a distinguished Canadian fighter ace of the First World War.
  • E. Cadogan
    Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
  • 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: Alcover
Triple: [Foix, twinnedWith, Alcover]
Generated description
Alcover is a municipality in the province of Tarragona, Catalonia, Spain, known for its historic architecture and proximity to the Prades Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alcover
Target entity description: Alcover is a municipality in the province of Tarragona, Catalonia, Spain, known for its historic architecture and proximity to the Prades Mountains.
  • A. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
  • B. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • C. Delaford
    Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
  • D. Collishaw
    Collishaw is a surname most notably associated with Raymond Collishaw, a distinguished Canadian fighter ace of the First World War.
  • E. Cadogan
    Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec581adc81909219e6f025fc97c2 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124cdf588190b3b83ee8fb29450a completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b5132715888190bc5ba6182965e813 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b513b11dcc8190a2c2e3f27b4cf25e completed March 14, 2026, 7:52 a.m.
Created at: March 9, 2026, 3:20 p.m.