Triple

T18588334
Position Surface form Disambiguated ID Type / Status
Subject Upacara Kasada E454295 entity
Predicate honors P2354 FINISHED
Object Roro Anteng
Roro Anteng is a legendary Javanese princess associated with the origins of the Tengger people and the traditions surrounding Mount Bromo.
E1331501 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: Roro Anteng | Statement: [Upacara Kasada, honors, Roro Anteng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roro Anteng
Context triple: [Upacara Kasada, honors, Roro Anteng]
  • A. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • B. Tio Pakusadewo
    Tio Pakusadewo is an acclaimed Indonesian actor known for his intense character roles in film and television.
  • C. Mungkid
    Mungkid is a town and administrative district in Central Java, Indonesia, known as the area encompassing the historic Buddhist Mendut Temple near Borobudur.
  • D. Ranu Pakis
    Ranu Pakis is a volcanic crater lake in East Java, Indonesia, known for its scenic setting near Mount Lamongan.
  • E. Wilis
    Wilis are vengeful female spirits of betrayed brides in the ballet "Giselle," who rise from their graves at night to force men to dance to their deaths.
  • 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: Roro Anteng
Triple: [Upacara Kasada, honors, Roro Anteng]
Generated description
Roro Anteng is a legendary Javanese princess associated with the origins of the Tengger people and the traditions surrounding Mount Bromo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roro Anteng
Target entity description: Roro Anteng is a legendary Javanese princess associated with the origins of the Tengger people and the traditions surrounding Mount Bromo.
  • A. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • B. Tio Pakusadewo
    Tio Pakusadewo is an acclaimed Indonesian actor known for his intense character roles in film and television.
  • C. Mungkid
    Mungkid is a town and administrative district in Central Java, Indonesia, known as the area encompassing the historic Buddhist Mendut Temple near Borobudur.
  • D. Ranu Pakis
    Ranu Pakis is a volcanic crater lake in East Java, Indonesia, known for its scenic setting near Mount Lamongan.
  • E. Wilis
    Wilis are vengeful female spirits of betrayed brides in the ballet "Giselle," who rise from their graves at night to force men to dance to their deaths.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b3e564819088e60fc25d1976f0 completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f8935ea08190936fa5bd6b5ad461 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f96d119481908da5f94feb61bab9 completed May 13, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9dd338881908b300bab7947f736 completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 11:44 a.m.