Triple

T20143478
Position Surface form Disambiguated ID Type / Status
Subject Lembar E491234 entity
Predicate connectsByFerryTo P1831 FINISHED
Object Padangbai 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: Padangbai | Statement: [Lembar, connectsByFerryTo, Padangbai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padangbai
Context triple: [Lembar, connectsByFerryTo, Padangbai]
  • A. Padang Bai chosen
    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.
  • B. Padang Dinka
    Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
  • C. Meulaboh
    Meulaboh is a coastal town in Aceh, Indonesia, known historically as a center of resistance during the Acehnese struggle against Dutch colonial rule.
  • D. Padang Aro
    Padang Aro is a town in West Sumatra, Indonesia, serving as the administrative and economic center of South Solok Regency.
  • E. Pasai
    Pasai was a historic port city in northern Sumatra that served as an early center of Islamic trade and culture in Southeast Asia.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.