Triple

T13093876
Position Surface form Disambiguated ID Type / Status
Subject Mount Mahawu E310530 entity
Predicate locatedNear P294 FINISHED
Object Tomohon E310525 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: Tomohon | Statement: [Mount Mahawu, locatedNear, Tomohon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomohon
Context triple: [Mount Mahawu, locatedNear, Tomohon]
  • A. Tomohon chosen
    Tomohon is a highland city in Indonesia known for its cool climate, volcanic scenery, and traditional markets, located in the province of North Sulawesi.
  • B. Vaitape
    Vaitape is the main village and commercial hub of Bora Bora in French Polynesia, serving as its primary port and population center.
  • C. Kokopo
    Kokopo is a coastal town in East New Britain Province of Papua New Guinea that became the provincial capital after the 1994 volcanic destruction of nearby Rabaul.
  • D. Hagatna
    Hagatna is the small coastal capital city of the U.S. territory of Guam, known for its historic sites and role as the island’s administrative center.
  • E. Bougainvillea City
    Bougainvillea City is a floral-themed nickname for the Malaysian city of Ipoh, reflecting its abundance of bougainvillea plants and scenic charm.
  • 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_69f6ead8f3a881909a32afc268e3b385 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:03 p.m.