Triple

T13523604
Position Surface form Disambiguated ID Type / Status
Subject Mount Klabat E322963 entity
Predicate locatedNear P294 FINISHED
Object Manado E80045 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: Manado | Statement: [Mount Klabat, locatedNear, Manado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manado
Context triple: [Mount Klabat, locatedNear, Manado]
  • A. Manado chosen
    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.
  • B. Bitung
    Bitung is a port city in North Sulawesi, Indonesia, known as a major gateway for maritime trade and access to the rich marine biodiversity of the Lembeh Strait.
  • C. Makassar
    Makassar is a major port city on the southwest coast of Sulawesi known historically as a key maritime trading hub in eastern Indonesia.
  • D. Gorontalo City
    Gorontalo City is an urban center on the northern coast of Sulawesi, Indonesia, known as the administrative, economic, and cultural hub of the surrounding Gorontalo region.
  • E. Medan
    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.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7a1ee88190951de590a4a07d6f completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:44 p.m.