Triple

T4121710
Position Surface form Disambiguated ID Type / Status
Subject Barong Temple E92626 entity
Predicate nearbyVillage P4647 FINISHED
Object Sambirejo
Sambirejo is a village in the Sleman Regency of Yogyakarta, Indonesia, known for its proximity to several ancient Hindu temples and archaeological sites.
 E401751 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: Sambirejo | Statement: [Barong Temple, nearbyVillage, Sambirejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sambirejo
Context triple: [Barong Temple, nearbyVillage, Sambirejo]
  • A. Trenggalek
    Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
  • B. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • C. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • D. Kalasan District
    Kalasan District is an administrative area in Sleman Regency, Yogyakarta, Indonesia, known for its concentration of ancient Javanese temples and archaeological sites.
  • E. Tulungagung
    Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
  • 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: Sambirejo
Triple: [Barong Temple, nearbyVillage, Sambirejo]
Generated description
Sambirejo is a village in the Sleman Regency of Yogyakarta, Indonesia, known for its proximity to several ancient Hindu temples and archaeological sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sambirejo
Target entity description: Sambirejo is a village in the Sleman Regency of Yogyakarta, Indonesia, known for its proximity to several ancient Hindu temples and archaeological sites.
  • A. Trenggalek
    Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
  • B. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • C. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • D. Kalasan District chosen
    Kalasan District is an administrative area in Sleman Regency, Yogyakarta, Indonesia, known for its concentration of ancient Javanese temples and archaeological sites.
  • E. Tulungagung
    Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020549dc8190a81a5dbbf70288c7 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b13cc881908fea25c686141546 completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577ac31888190b6182b00bd5c709f completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b57839ee548190804ef306fc9b3a6e completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:41 p.m.