Triple

T194064
Position Surface form Disambiguated ID Type / Status
Subject Kremlin E3780 entity
Predicate hasPart P35 FINISHED
Object Kremlin towers E3780 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: Kremlin towers | Statement: [Kremlin, hasPart, Kremlin towers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kremlin towers
Context triple: [Kremlin, hasPart, Kremlin towers]
  • A. Kremlin chosen
    The Kremlin is a historic fortified complex in the heart of Moscow that serves as the official residence of the Russian president and a symbol of Russian political power.
  • B. Red Square
    Red Square is Moscow’s most famous historic plaza, known as a symbolic center of Russia and a UNESCO World Heritage site surrounded by landmarks like the Kremlin and Saint Basil’s Cathedral.
  • C. Kazan Cathedral
    Kazan Cathedral is a prominent Russian Orthodox church in Saint Petersburg, renowned for its grand neoclassical colonnade and role as a major religious and architectural landmark of the city.
  • D. Lenin Mausoleum
    Lenin Mausoleum is the monumental tomb in Moscow’s Red Square where the embalmed body of Soviet leader Vladimir Lenin has been publicly displayed since shortly after his death.
  • E. Roter Turm
    Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2596810c48190ab687c0c2efaa9e2 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c7afc48190a65c7e71260c84b4 completed Feb. 28, 2026, 6:24 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.