Triple

T4612315
Position Surface form Disambiguated ID Type / Status
Subject Batang Hari River E100786 entity
Predicate passesNear P416 FINISHED
Object Muara Tebo E461293 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: Muara Tebo | Statement: [Batang Hari River, passesNear, Muara Tebo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muara Tebo
Context triple: [Batang Hari River, passesNear, Muara Tebo]
  • A. Muara Tebo chosen
    Muara Tebo is a town in Jambi Province on the island of Sumatra in Indonesia, known as an administrative and economic center along the Batang Hari River.
  • B. Muara Bulian
    Muara Bulian is a town in Jambi Province on the island of Sumatra, Indonesia, known as an administrative and economic center in the Batang Hari Regency.
  • C. Sungai Penuh
    Sungai Penuh is a city in the highland Kerinci region of Jambi Province on the island of Sumatra, Indonesia, known as a gateway to the Kerinci Seblat National Park.
  • D. Batanghari River
    The Batanghari River is the longest river in Sumatra, Indonesia, flowing through several provinces and serving as a vital waterway for transportation, agriculture, and local communities.
  • E. Kapuas River
    The Kapuas River is the longest river in Indonesia and one of the major waterways of Borneo, flowing through dense tropical rainforest and supporting rich biodiversity and local communities.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c11f5481909f61e23503711cf5 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1029dc8c81908ec7d0ddd23428b4 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:12 p.m.