Triple

T17535332
Position Surface form Disambiguated ID Type / Status
Subject Batanghari River E427043 entity
Predicate passesNearCity P3945 FINISHED
Object Muara Tebo 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: Muara Tebo | Statement: [Batanghari River, passesNearCity, Muara Tebo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muara Tebo
Context triple: [Batanghari River, passesNearCity, 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 Rokan
    Sungai Rokan is a major river in Riau Province, Sumatra, Indonesia, known for its role in regional transportation, fisheries, and supporting surrounding agricultural areas.
  • D. Rejang
    Rejang are an indigenous ethnic group of southwestern Sumatra, Indonesia, known for their distinct Austronesian language and traditional Rejang script.
  • E. Kapuas Hulu
    Kapuas Hulu is a regency-level area in the eastern part of West Kalimantan, Indonesia, known for its extensive rainforests, river systems, and proximity to the border with Malaysia.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536b8d6c8190906314708001a830 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.