Triple

T20774000
Position Surface form Disambiguated ID Type / Status
Subject Greater Medan area E511309 entity
Predicate governingCity P6317 FINISHED
Object Medan City Government 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: Medan City Government | Statement: [Greater Medan area, governingCity, Medan City Government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medan City Government
Context triple: [Greater Medan area, governingCity, Medan City Government]
  • A. Medan
    Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
  • B. 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.
  • C. Medan Mall
    Medan Mall is a shopping center located in the town of Sibu in the Malaysian state of Sarawak.
  • D. Minahasa Regency
    Minahasa Regency is an administrative region on the island of Sulawesi in Indonesia, known for its Minahasan culture, volcanic landscapes, and proximity to the provincial capital Manado.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c269638881909d96b847f7de5585 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.