Triple

T11879365
Position Surface form Disambiguated ID Type / Status
Subject Benasque Valley E282614 entity
Predicate nearbyMountain P10602 FINISHED
Object Maladeta
Maladeta is a prominent peak in the central Pyrenees of Spain, known for its glaciated massif and proximity to Aneto, the highest mountain in the range.
 E951949 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: Maladeta | Statement: [Benasque Valley, nearbyMountain, Maladeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maladeta
Context triple: [Benasque Valley, nearbyMountain, Maladeta]
  • A. Malad
    Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
  • B. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • C. Maléter
    Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
  • D. Madadeni
    Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
  • E. El Matareya
    El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
  • 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: Maladeta
Triple: [Benasque Valley, nearbyMountain, Maladeta]
Generated description
Maladeta is a prominent peak in the central Pyrenees of Spain, known for its glaciated massif and proximity to Aneto, the highest mountain in the range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maladeta
Target entity description: Maladeta is a prominent peak in the central Pyrenees of Spain, known for its glaciated massif and proximity to Aneto, the highest mountain in the range.
  • A. Malad
    Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
  • B. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • C. Maléter
    Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
  • D. Madadeni
    Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
  • E. El Matareya
    El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281d8c65081908ebaf4bff5670c47 completed April 29, 2026, 10:10 p.m.
NEDg Description generation batch_69f2b8b73f28819089ac252f7f823efb completed April 30, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69f2c4120f448190ac0ac944e77cb20e completed April 30, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:44 p.m.