Triple

T4431883
Position Surface form Disambiguated ID Type / Status
Subject South Sumatra E95349 entity
Predicate hasAbbreviation P43 FINISHED
Object Sumsel E95349 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: Sumsel | Statement: [South Sumatra, hasAbbreviation, Sumsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumsel
Context triple: [South Sumatra, hasAbbreviation, Sumsel]
  • A. Riau
    Riau is a resource-rich Indonesian province on the central eastern coast of Sumatra, known for its oil, gas, and palm oil industries and its strategic location along the Strait of Malacca.
  • B. South Sumatra chosen
    South Sumatra is a province in the southern part of the Indonesian island of Sumatra, known for its capital Palembang and its rich natural resources and cultural heritage.
  • C. West Sumatra
    West Sumatra is an Indonesian province on the island of Sumatra known for its Minangkabau culture, distinctive architecture, and spicy Padang cuisine.
  • D. Lampung
    Lampung is a province at the southern tip of the Indonesian island of Sumatra, known for its coastal landscapes, agriculture, and proximity to the Sunda Strait.
  • E. Bengkulu
    Bengkulu is a province on the southwest coast of the Indonesian island of Sumatra, known for its Indian Ocean shoreline and colonial history.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b672251b408190b3883a6895c154d7 completed March 15, 2026, 8:47 a.m.
Created at: March 12, 2026, 11:31 p.m.