Triple

T8457753
Position Surface form Disambiguated ID Type / Status
Subject Bragança E199961 entity
Predicate hasParish P35 FINISHED
Object Babe
Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
E735215 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: Babe | Statement: [Bragança, hasParish, Babe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babe
Context triple: [Bragança, hasParish, Babe]
  • A. Babe
    Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • B. Babe
    Babe is a critically acclaimed 1995 family film that blends live-action and animatronics to tell the story of a pig who aspires to be a sheepdog.
  • C. Babe
    Babe is the nickname of Babe Phelps, an American Major League Baseball catcher active in the 1930s and early 1940s.
  • D. Babe
    "Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
  • E. Babe
    "Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
  • 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: Babe
Triple: [Bragança, hasParish, Babe]
Generated description
Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Babe
Target entity description: Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • A. Babe
    Babe is a critically acclaimed 1995 family film that blends live-action and animatronics to tell the story of a pig who aspires to be a sheepdog.
  • B. Babe
    "Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
  • C. Babe
    "Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
  • D. Babe
    Babe is the nickname of Babe Phelps, an American Major League Baseball catcher active in the 1930s and early 1940s.
  • E. Babe
    Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49064f881909391d565b97e9886 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce20130e9c81908c13e571ca8a6ad4 completed April 2, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:10 p.m.