Triple

T13188665
Position Surface form Disambiguated ID Type / Status
Subject Port of Manado E313924 entity
Predicate serves P98 FINISHED
Object city of 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: city of Manado | Statement: [Port of Manado, serves, city of Manado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Manado
Context triple: [Port of Manado, serves, city of 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. 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.
  • C. Naga City
    Naga City is a major urban center in the Bicol Region of the Philippines, known as a cultural, religious, and educational hub.
  • D. Naga City
    Naga City is a component city in the province of Cebu in the Philippines, known for its industrial activities and coastal location in the central Visayas 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4d60688190b34e65bbb5d4c152 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78acdaae881908825e5308f0ba388 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:15 p.m.