Triple

T854182
Position Surface form Disambiguated ID Type / Status
Subject Bahrain E18452 entity
Predicate hasIsland P970 FINISHED
Object Bahrain Island E18452 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: Bahrain Island | Statement: [Bahrain, hasIsland, Bahrain Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahrain Island
Context triple: [Bahrain, hasIsland, Bahrain Island]
  • A. Bahrain chosen
    Bahrain is a small island nation in the Persian Gulf known for its rich history, oil wealth, and status as a regional financial and cultural hub.
  • B. Qeshm Island
    Qeshm Island is the largest island in the Persian Gulf, known for its strategic location, unique geological formations, and diverse ecosystems off the southern coast of Iran.
  • C. Socotra
    Socotra is a remote Yemeni island renowned for its unique biodiversity and otherworldly landscapes, including the iconic dragon’s blood trees.
  • D. Gezira Island
    Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
  • E. Mona Island
    Mona Island is a remote, uninhabited nature reserve in the Mona Passage known for its rugged limestone cliffs, unique wildlife, and pristine beaches.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:39 p.m.