Triple

T12096032
Position Surface form Disambiguated ID Type / Status
Subject Cango Caves E288072 entity
Predicate nearbyCity P350 FINISHED
Object George
George is a city in South Africa’s Western Cape, known as a key gateway to the Garden Route and nearby natural attractions.
 E95360 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: George | Statement: [Cango Caves, nearbyCity, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [Cango Caves, nearbyCity, George]
  • A. George
    George is the given name of George Black, a New Zealand politician.
  • B. George
    George is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
  • C. George
    George is the given name of George V of Hanover, a 19th-century King of Hanover from the House of Hanover.
  • D. George
    George is a male given name commonly used in English-speaking countries and borne by numerous historical figures, including kings, presidents, and cultural icons.
  • E. George
    George is a common masculine given name of Greek origin, meaning "farmer" or "earthworker."
  • 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: George
Triple: [Cango Caves, nearbyCity, George]
Generated description
George is a city in South Africa’s Western Cape, known as a key gateway to the Garden Route and nearby natural attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is a city in South Africa’s Western Cape, known as a key gateway to the Garden Route and nearby natural attractions.
  • A. George chosen
    George is a town in South Africa’s Western Cape province, known as a gateway to the Garden Route and for its scenic mountains and forests.
  • B. George
    George is the given first name of South African rugby union coach Kitch Christie, who led the Springboks to victory in the 1995 Rugby World Cup.
  • C. George
    George is the given name of George Clinton, the influential American funk musician and bandleader behind Parliament-Funkadelic.
  • D. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • E. George
    George is a male given name commonly used in English-speaking countries and borne by numerous historical figures, including kings, presidents, and cultural icons.
  • F. None of above.

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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91552645c81909aff601ab3d3c0e6 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ed5908190a0082796366a8825 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b6769481909d0308c8f77b2ef3 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:48 p.m.