Triple

T12638976
Position Surface form Disambiguated ID Type / Status
Subject Aran Valley E301840 entity
Predicate hasPopulationCenter P2106 FINISHED
Object Les
Les is a small municipality in the Aran Valley of Catalonia, Spain, known for its Pyrenean mountain setting and traditional local culture.
 E994729 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: Les | Statement: [Aran Valley, hasPopulationCenter, Les]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les
Context triple: [Aran Valley, hasPopulationCenter, Les]
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Letz
    Letz is the surname of George Montgomery, an American actor and filmmaker active in mid-20th-century Hollywood.
  • E. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • 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: Les
Triple: [Aran Valley, hasPopulationCenter, Les]
Generated description
Les is a small municipality in the Aran Valley of Catalonia, Spain, known for its Pyrenean mountain setting and traditional local culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les
Target entity description: Les is a small municipality in the Aran Valley of Catalonia, Spain, known for its Pyrenean mountain setting and traditional local culture.
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Letz
    Letz is the surname of George Montgomery, an American actor and filmmaker active in mid-20th-century Hollywood.
  • E. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2da60881909b0a689821456bb4 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:16 p.m.