Triple

T19355353
Position Surface form Disambiguated ID Type / Status
Subject Kremlin Wall E484130 entity
Predicate hasPart P35 FINISHED
Object Nabatnaya Tower NE NERFINISHED

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: Nabatnaya Tower | Statement: [Kremlin Wall, hasPart, Nabatnaya Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabatnaya Tower
Context triple: [Kremlin Wall, hasPart, Nabatnaya Tower]
  • A. Nabatnaya Tower chosen
    Nabatnaya Tower is one of the historic defensive towers of the Moscow Kremlin, notable for its role in sounding alarms during emergencies in medieval Moscow.
  • B. Atakule Tower
    Atakule Tower is a prominent communications and observation tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • C. Halebija tower
    Halebija Tower is a historic stone fortification in Mostar, Bosnia and Herzegovina, that forms part of the defensive complex surrounding the city’s iconic Old Bridge.
  • D. Ta’ Kenuna Tower
    Ta’ Kenuna Tower is a 19th-century British-built semaphore and later lighthouse tower located on the outskirts of Nadur on the island of Gozo, Malta.
  • E. Toghrol Tower
    Toghrol Tower is a 12th-century Seljuk-era brick tomb tower and architectural landmark located in Rey, near Tehran, Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61908920c8190833051e30ad2420c completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.