Triple

T15892794
Position Surface form Disambiguated ID Type / Status
Subject Bartın E385368 entity
Predicate nearbyTouristDestination P28492 FINISHED
Object Amasra E1182737 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: Amasra | Statement: [Bartın, nearbyTouristDestination, Amasra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amasra
Context triple: [Bartın, nearbyTouristDestination, Amasra]
  • A. Amasra chosen
    Amasra is a historic coastal town and popular tourist destination on Turkey’s Black Sea coast, known for its scenic harbor, beaches, and ancient fortifications.
  • B. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • C. Miaoulis
    Miaoulis is a Greek surname most famously associated with Admiral Andreas Miaoulis, a key naval leader in the Greek War of Independence.
  • D. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • E. Galeata
    Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563727cc819086b5c18b655dd7f6 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a1b1548190a8579cebf9e71121 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:51 a.m.