Triple

T12157064
Position Surface form Disambiguated ID Type / Status
Subject Kata Tjuta E289600 entity
Predicate hasAlternativeName P39 FINISHED
Object The Olgas
The Olgas is a striking group of large, ancient rock formations in Australia’s Northern Territory, near Uluru, that holds great cultural significance for the local Anangu people.
 E963757 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: The Olgas | Statement: [Kata Tjuta, hasAlternativeName, The Olgas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Olgas
Context triple: [Kata Tjuta, hasAlternativeName, The Olgas]
  • A. Olgossa
    Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
  • B. Daughters of Odessa
    Daughters of Odessa is a figurative sculpture by American artist Frederick Hart, known for its graceful, classical portrayal of female forms in a lyrical, allegorical style.
  • C. Die Alte Dame
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • D. Milena
    Milena is the birth name of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show" and "Black Swan."
  • E. Milena
    Milena is a small town and comune in the Province of Caltanissetta in central Sicily, Italy.
  • 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: The Olgas
Triple: [Kata Tjuta, hasAlternativeName, The Olgas]
Generated description
The Olgas is a striking group of large, ancient rock formations in Australia’s Northern Territory, near Uluru, that holds great cultural significance for the local Anangu people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Olgas
Target entity description: The Olgas is a striking group of large, ancient rock formations in Australia’s Northern Territory, near Uluru, that holds great cultural significance for the local Anangu people.
  • A. Olgossa
    Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
  • B. Daughters of Odessa
    Daughters of Odessa is a figurative sculpture by American artist Frederick Hart, known for its graceful, classical portrayal of female forms in a lyrical, allegorical style.
  • C. Die Alte Dame
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • D. Milena
    Milena is the birth name of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show" and "Black Swan."
  • E. Milena
    Milena is a small town and comune in the Province of Caltanissetta in central Sicily, Italy.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:50 p.m.