Triple

T17104393
Position Surface form Disambiguated ID Type / Status
Subject Padang Beach E415059 entity
Predicate near P350 FINISHED
Object Padang city center 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: Padang city center | Statement: [Padang Beach, near, Padang city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padang city center
Context triple: [Padang Beach, near, Padang city center]
  • 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. Bukittinggi
    Bukittinggi is a historic highland city in West Sumatra, Indonesia, renowned as a major hub of Minangkabau culture, history, and tourism.
  • D. 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.
  • E. Padang Sidempuan
    Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2591a881909c5f4f7db47f4d6c completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.