Triple

T20694018
Position Surface form Disambiguated ID Type / Status
Subject Kraton Ratu Boko E508618 entity
Predicate nearbyVillage P4647 FINISHED
Object Bokoharjo NE NERFINISHED

How this triple was built (2 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: Bokoharjo | Statement: [Kraton Ratu Boko, nearbyVillage, Bokoharjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokoharjo
Context triple: [Kraton Ratu Boko, nearbyVillage, Bokoharjo]
  • A. Muntilan
    Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
  • B. Ambarawa
    Ambarawa is a town in Central Java, Indonesia, known as a historical area near the ancient Gedong Songo Hindu temple complex and former colonial-era military sites.
  • C. Prabumulih
    Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
  • D. Salatiga
    Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
  • E. Magelang chosen
    Magelang is a city in Central Java, Indonesia, known as the gateway to the famous Borobudur Temple and for its surrounding volcanic and rural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c110c4108190a3ab171df33be194 completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:09 p.m.