Triple

T7321783
Position Surface form Disambiguated ID Type / Status
Subject Alta Rockefeller E168566 entity
Predicate givenName P17 FINISHED
Object Alta
Alta is a feminine given name of Latin origin meaning "high" or "elevated," used in various cultures but particularly in English-speaking countries.
 E657635 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: Alta | Statement: [Alta Rockefeller, givenName, Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alta
Context triple: [Alta Rockefeller, givenName, Alta]
  • A. Alta
    Alta is a small mountain town in Utah best known for its world-class powder skiing at Alta Ski Area in the Wasatch Range.
  • B. Alta
    Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
  • C. Escalante
    Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Alpedrete
    Alpedrete is a municipality in the Community of Madrid, Spain, known for its traditional stone quarries and residential character near the Sierra de Guadarrama.
  • E. Noicattaro
    Noicattaro is a town and comune in the Apulia region of southern Italy, situated near Bari and known for its agricultural production, particularly table grapes.
  • 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: Alta
Triple: [Alta Rockefeller, givenName, Alta]
Generated description
Alta is a feminine given name of Latin origin meaning "high" or "elevated," used in various cultures but particularly in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alta
Target entity description: Alta is a feminine given name of Latin origin meaning "high" or "elevated," used in various cultures but particularly in English-speaking countries.
  • A. Alta
    Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
  • B. Alta
    Alta is a small mountain town in Utah best known for its world-class powder skiing at Alta Ski Area in the Wasatch Range.
  • C. Escalante
    Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Alpedrete
    Alpedrete is a municipality in the Community of Madrid, Spain, known for its traditional stone quarries and residential character near the Sierra de Guadarrama.
  • E. Noicattaro
    Noicattaro is a town and comune in the Apulia region of southern Italy, situated near Bari and known for its agricultural production, particularly table grapes.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6f041f4a88190b85cff1ee5f9a6d0 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef01ea8c819091cd4106039c121e completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef7f7b7c8190b3361cc01b2eefc0 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f380dbe48190933e1eeff109185d completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 3:03 p.m.