Triple

T13093780
Position Surface form Disambiguated ID Type / Status
Subject Tangkoko Batuangus Nature Reserve E310528 entity
Predicate nearestCity P350 FINISHED
Object Bitung E316726 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: Bitung | Statement: [Tangkoko Batuangus Nature Reserve, nearestCity, Bitung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitung
Context triple: [Tangkoko Batuangus Nature Reserve, nearestCity, Bitung]
  • A. Bitung chosen
    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.
  • B. Ambon
    Ambon is a major city and port in eastern Indonesia, known as an administrative, economic, and cultural hub in the Maluku region.
  • C. 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.
  • D. Tondano
    Tondano is a town in North Sulawesi, Indonesia, known as an administrative and cultural center of the Minahasa region near Lake Tondano.
  • E. Palu
    Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:03 p.m.