Triple

T15141314
Position Surface form Disambiguated ID Type / Status
Subject Putussibau E361688 entity
Predicate roadConnectionTo P9041 FINISHED
Object Sintang E821997 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: Sintang | Statement: [Putussibau, roadConnectionTo, Sintang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sintang
Context triple: [Putussibau, roadConnectionTo, Sintang]
  • A. Sintang chosen
    Sintang is a town and regency capital in the interior of West Kalimantan, Indonesia, situated near the confluence of the Kapuas and Melawi rivers.
  • B. Sanggau
    Sanggau is a town and regency seat in the interior of West Kalimantan, Indonesia, known as an administrative and trading center along the Kapuas River.
  • C. Singkawang
    Singkawang is a city in West Kalimantan, Indonesia, known for its large Chinese Indonesian community and vibrant Chinese cultural festivals, especially its Cap Go Meh celebrations.
  • D. Mempawah
    Mempawah is a coastal town and regency capital in Indonesian Borneo known for its river port, Malay cultural heritage, and role as an administrative center in West Kalimantan.
  • E. Ketapang
    Ketapang is a coastal town and regency capital in West Kalimantan, Indonesia, known for its role as a regional economic and transportation hub.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c46a248190a2364092d40274f3 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfee0ae48190a36523d3eeae9740 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.