Triple

T6505097
Position Surface form Disambiguated ID Type / Status
Subject Southeast Sulawesi E149987 entity
Predicate largestCity P235 FINISHED
Object Kendari E80839 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: Kendari | Statement: [Southeast Sulawesi, largestCity, Kendari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendari
Context triple: [Southeast Sulawesi, largestCity, Kendari]
  • A. Kendari chosen
    Kendari is the capital and largest city of Southeast Sulawesi Province on the Indonesian island of Sulawesi, known as a regional center for trade and maritime activities.
  • B. Makassar
    Makassar is a major port city on the southwest coast of Sulawesi known historically as a key maritime trading hub in eastern Indonesia.
  • C. Palopo
    Palopo is a coastal city in Indonesia known as an important regional center in the province of South Sulawesi.
  • D. 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.
  • E. 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.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69966ff708190902c88cb6b48e5d7 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70062ec108190a9cb2655cd136d33 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:43 p.m.