Triple

T17104156
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Padang E415054 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Padang, West Sumatra E89280 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: Padang, West Sumatra | Statement: [Mayor of Padang, appliesToJurisdiction, Padang, West Sumatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padang, West Sumatra
Context triple: [Mayor of Padang, appliesToJurisdiction, Padang, West Sumatra]
  • A. Padang chosen
    Padang is a major coastal city in western Indonesia known as the capital of West Sumatra and a cultural and culinary center of the Minangkabau people.
  • B. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • C. Solok
    Solok is a city in the Indonesian province of West Sumatra known for its rice production and scenic highland landscapes.
  • D. Padang Besar
    Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
  • E. Padang Bai
    Padang Bai is a small coastal village and port in eastern Bali, Indonesia, known as a gateway to the nearby islands and for its beaches and dive sites.
  • 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_69e3dc2591a881909c5f4f7db47f4d6c completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c36b32c8190a365b7b80207978c completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:35 a.m.