Triple

T2015525
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Castro Marim E43785 entity
Predicate hasCivilParish P2739 FINISHED
Object Altura
Altura is a coastal civil parish in Portugal’s Algarve region, known for its long sandy beaches and tourism.
 E225798 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: Altura | Statement: [Municipality of Castro Marim, hasCivilParish, Altura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Altura
Context triple: [Municipality of Castro Marim, hasCivilParish, Altura]
  • 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. Tepehuán
    The Tepehuán are an Indigenous people of northern Mexico known for their distinct language, traditional agriculture, and cultural practices rooted in the rugged highlands of the Sierra Madre Occidental.
  • D. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • E. Red Rocha
    Red Rocha was an American professional basketball player and later coach who played as a center in the early years of the NBA, including for teams like the St. Louis Bombers and Syracuse Nationals.
  • 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: Altura
Triple: [Municipality of Castro Marim, hasCivilParish, Altura]
Generated description
Altura is a coastal civil parish in Portugal’s Algarve region, known for its long sandy beaches and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Altura
Target entity description: Altura is a coastal civil parish in Portugal’s Algarve region, known for its long sandy beaches and tourism.
  • 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. Tepehuán
    The Tepehuán are an Indigenous people of northern Mexico known for their distinct language, traditional agriculture, and cultural practices rooted in the rugged highlands of the Sierra Madre Occidental.
  • D. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • E. Red Rocha
    Red Rocha was an American professional basketball player and later coach who played as a center in the early years of the NBA, including for teams like the St. Louis Bombers and Syracuse Nationals.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8cb16048190bc626685fbb5f707 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aef0fe88190adf9cd218cf7d8b4 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0c1ea0388190b44af2223517129e completed March 8, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c7719e881909059cef2c513a05a completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:37 p.m.