Triple

T15770844
Position Surface form Disambiguated ID Type / Status
Subject Olele Marine Park E382352 entity
Predicate accessFrom P1985 FINISHED
Object Gorontalo City E382350 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: Gorontalo City | Statement: [Olele Marine Park, accessFrom, Gorontalo City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorontalo City
Context triple: [Olele Marine Park, accessFrom, Gorontalo City]
  • A. Gorontalo City chosen
    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.
  • B. Tondano
    Tondano is a town in North Sulawesi, Indonesia, known as an administrative and cultural center of the Minahasa region near Lake Tondano.
  • C. 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.
  • D. Palu
    Palu is a historic town and district in eastern Turkey known for its ancient ruins and location along the Murat River in Elazığ Province.
  • E. Kendari
    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.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051962fe08190a6201dd48196a9ee completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909b467c819097ee87f51d2001da completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.