Triple

T17100648
Position Surface form Disambiguated ID Type / Status
Subject Panjalu E414970 entity
Predicate engagedInConflictWith P12 FINISHED
Object Janggala E414969 NE FINISHED

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: Janggala | Statement: [Panjalu, engagedInConflictWith, Janggala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janggala
Context triple: [Panjalu, engagedInConflictWith, Janggala]
  • A. Janggala chosen
    Janggala was an 11th-century Javanese kingdom formed from the division of the Kahuripan realm, playing a key role in the early political history of East Java in Indonesia.
  • B. Jaru
    Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
  • C. Batawa
    Batawa is a small community within the city of Quinte West in Ontario, Canada, known historically for its Bata shoe factory and company town origins.
  • D. Gulkula
    Gulkula is a culturally significant site in Arnhem Land, Northern Territory, Australia, known as a gathering place for Yolngu people and the venue for major Indigenous cultural events.
  • E. Kondura
    Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc0182cc8190b8aa9c980f11ba57 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fdda488190a1ca5c7ca875e044 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.