Triple

T13411658
Position Surface form Disambiguated ID Type / Status
Subject Tanga Islands E320102 entity
Predicate hasIsland P970 FINISHED
Object Bitlik Island E1041847 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: Bitlik Island | Statement: [Tanga Islands, hasIsland, Bitlik Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitlik Island
Context triple: [Tanga Islands, hasIsland, Bitlik Island]
  • A. Bitlik Island chosen
    Bitlik Island is a small island located within the Tanga Islands archipelago off the northeastern coast of Papua New Guinea.
  • B. Avşa Island
    Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
  • C. Lale Island
    Lale Island is a small island in Turkey’s Balıkesir Province, known for its coastal scenery and connection to the nearby mainland towns along the Aegean coast.
  • D. Çarpanak Island
    Çarpanak Island is a small island in eastern Turkey’s Lake Van, notable for its historic Armenian monastery and scenic, rugged landscape.
  • E. İmralı Island
    İmralı Island is a small Turkish island in the Sea of Marmara best known as a high-security prison island, notably housing Abdullah Öcalan.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd27f43bf081908dea65dc05f7c1a2 completed May 8, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:35 p.m.