Triple

T5436140
Position Surface form Disambiguated ID Type / Status
Subject Belawan Port E122011 entity
Predicate locatedNear P294 FINISHED
Object Medan city center E22954 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: Medan city center | Statement: [Belawan Port, locatedNear, Medan city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medan city center
Context triple: [Belawan Port, locatedNear, Medan city center]
  • A. Medan chosen
    Medan is a major economic and cultural hub in northern Sumatra, known as one of Indonesia’s largest cities and a gateway to the region.
  • B. Medan
    Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
  • C. Medan Hokkien
    Medan Hokkien is a regional variety of the Hokkien Chinese language spoken primarily by Chinese communities in and around Medan, North Sumatra, Indonesia.
  • D. Padang Sidempuan
    Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
  • E. Manado
    Manado is a major coastal city and the capital of North Sulawesi province in Indonesia, known as a gateway to the renowned Bunaken Marine Park.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91b099488190b4c5f1cea3f45d57 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3acfd0408190877fbe41f1dc45ba completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.