Triple

T1453738
Position Surface form Disambiguated ID Type / Status
Subject Byzantium E31350 entity
Predicate locatedNear P294 FINISHED
Object Golden Horn E32142 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: Golden Horn | Statement: [Byzantium, locatedNear, Golden Horn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Horn
Context triple: [Byzantium, locatedNear, Golden Horn]
  • A. Golden Horn chosen
    The Golden Horn is a historic estuary and natural harbor in Istanbul that has long served as a key waterway shaping the city's commercial and cultural life.
  • B. Golden Horn Bay
    Golden Horn Bay is a strategically important natural harbor in the Sea of Japan, forming the core waterfront of the Russian Pacific port city of Vladivostok.
  • C. Bosporus
    The Bosporus is a narrow, strategically vital strait in Turkey that separates Europe from Asia and links the Black Sea to the Sea of Marmara.
  • D. Dardanelles
    The Dardanelles is a narrow, strategically vital strait in northwestern Turkey that connects the Aegean Sea to the Sea of Marmara and separates the European and Asian parts of the country.
  • E. Sakarya
    Sakarya is a city in northwestern Turkey known for its strategic location near the Black Sea and its role as an important industrial and transportation hub.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a0adb0819096c560e8aa317016 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8 p.m.