Triple

T16813993
Position Surface form Disambiguated ID Type / Status
Subject Siphnos E408691 entity
Predicate hasPort P35 FINISHED
Object Kamares E1235236 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: Kamares | Statement: [Siphnos, hasPort, Kamares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamares
Context triple: [Siphnos, hasPort, Kamares]
  • A. Kamares
    Kamares is a well-preserved Ottoman-era aqueduct in Kavala, Greece, and one of the city’s most recognizable landmarks.
  • B. Kamares chosen
    Kamares is the main port village of the Greek island of Siphnos, known for its sandy beach, waterfront tavernas, and role as the island’s primary gateway.
  • C. Bastida
    Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
  • D. Calah
    Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
  • E. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0f863081908e74dc4a7c91e91d completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.