Triple

T9822622
Position Surface form Disambiguated ID Type / Status
Subject Toroneos Gulf E238571 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Nikiti E234949 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: Nikiti | Statement: [Toroneos Gulf, hasNearbySettlement, Nikiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikiti
Context triple: [Toroneos Gulf, hasNearbySettlement, Nikiti]
  • A. Nikiti chosen
    Nikiti is a coastal town and popular tourist resort on the Sithonia peninsula in northern Greece’s Chalkidiki region.
  • B. Koropi
    Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
  • C. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • D. Dimitsana
    Dimitsana is a historic mountain village in the Peloponnese region of Greece, known for its traditional stone architecture and role in the Greek War of Independence.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb315ddf48190bd90f7835f409bb6 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc7ce1908190a5131ef238541f0d completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.