Triple

T12427800
Position Surface form Disambiguated ID Type / Status
Subject Vielha e Mijaran E296942 entity
Predicate hasSettlement P1068 FINISHED
Object Caseres
Caseres is a small settlement located within the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
E445146 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: Caseres | Statement: [Vielha e Mijaran, hasSettlement, Caseres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caseres
Context triple: [Vielha e Mijaran, hasSettlement, Caseres]
  • A. Caseres
    Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
  • B. Illescas
    Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
  • C. Calatayud
    Calatayud is a historic town in northeastern Spain known for its Mudéjar architecture and strategic location along the Jalón River.
  • D. Cieza
    Cieza is a municipality in southeastern Spain’s Region of Murcia, known for its fruit agriculture, especially peaches, and its scenic setting along the Segura River.
  • E. Alquézar
    Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
  • 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: Caseres
Triple: [Vielha e Mijaran, hasSettlement, Caseres]
Generated description
Caseres is a small settlement located within the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caseres
Target entity description: Caseres is a small settlement located within the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
  • A. Caseres chosen
    Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
  • B. Illescas
    Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
  • C. Calatayud
    Calatayud is a historic town in northeastern Spain known for its Mudéjar architecture and strategic location along the Jalón River.
  • D. Cieza
    Cieza is a municipality in southeastern Spain’s Region of Murcia, known for its fruit agriculture, especially peaches, and its scenic setting along the Segura River.
  • E. Alquézar
    Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
  • F. None of above.

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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:55 p.m.