Triple

T1595372
Position Surface form Disambiguated ID Type / Status
Subject Bioko Island E34267 entity
Predicate region P40 FINISHED
Object Bioko Sur Province E183237 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: Bioko Sur Province | Statement: [Bioko Island, region, Bioko Sur Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bioko Sur Province
Context triple: [Bioko Island, region, Bioko Sur Province]
  • A. Bioko Sur Province chosen
    Bioko Sur Province is an administrative region of Equatorial Guinea that encompasses the southern part of Bioko Island, including its capital Luba.
  • B. Malaita Province
    Malaita Province is one of the main provinces of the Solomon Islands, centered on the large and densely populated island of Malaita in the country’s eastern region.
  • C. Bioko Island
    Bioko Island is a volcanic island off the west coast of Africa that forms the northern region of Equatorial Guinea and hosts the country’s capital, Malabo.
  • D. Guadalcanal Province
    Guadalcanal Province is an administrative region of the Solomon Islands that encompasses the island of Guadalcanal and includes the national capital, Honiara.
  • E. Makira-Ulawa Province
    Makira-Ulawa Province is an island province in the Solomon Islands, known for its rugged landscapes, rich biodiversity, and predominantly subsistence-based rural communities.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092ccb388190b2f3ed86b3853651 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad608dfc688190a81a502c810f67fb completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:27 p.m.