Triple

T9007350
Position Surface form Disambiguated ID Type / Status
Subject Casino Constanța E215376 entity
Predicate isPartOf P10 FINISHED
Object Constanța seafront E40914 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: Constanța seafront | Statement: [Casino Constanța, isPartOf, Constanța seafront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constanța seafront
Context triple: [Casino Constanța, isPartOf, Constanța seafront]
  • A. Constanța chosen
    Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
  • B. Varna beach
    Varna beach is a popular Black Sea coastal shoreline in the Bulgarian city of Varna, known for its sandy beaches, seaside promenades, and vibrant summer tourism.
  • C. Sunny Beach
    Sunny Beach is a major Black Sea coastal resort in Bulgaria, known for its long sandy beaches, vibrant nightlife, and extensive tourist facilities.
  • D. Constanța Naval Base
    Constanța Naval Base is the main maritime military installation of Romania, serving as the central hub for its naval operations on the Black Sea.
  • E. Central Beach, Burgas
    Central Beach in Burgas is a popular Black Sea urban beach in Bulgaria known for its lively summer atmosphere and for hosting major music events and festivals.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bdc5fc819081015f4adacf9fd4 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e7f090819093c7af51c3979978 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.