Triple

T5853732
Position Surface form Disambiguated ID Type / Status
Subject Çanakkale 1915 Bridge E130098 entity
Predicate locatedNear P294 FINISHED
Object Lapseki E367393 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: Lapseki | Statement: [Çanakkale 1915 Bridge, locatedNear, Lapseki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapseki
Context triple: [Çanakkale 1915 Bridge, locatedNear, Lapseki]
  • A. Lapseki chosen
    Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
  • B. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • C. Kalkan
    Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
  • D. Nalut
    Nalut is a town in western Libya situated in the Nafusa Mountains, known for its Amazigh (Berber) heritage and historic hilltop granaries.
  • E. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b105fb588190ac58a94513df6682 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.