Triple

T3184699
Position Surface form Disambiguated ID Type / Status
Subject Tsarskoye Selo E66671 entity
Predicate hasBuilding P105 FINISHED
Object White Tower
The White Tower is a historic neo-Gothic tower and former imperial leisure pavilion located within the palace-and-park ensemble of Tsarskoye Selo near St. Petersburg, Russia.
E334391 NE FINISHED

How this triple was built (4 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: White Tower | Statement: [Tsarskoye Selo, hasBuilding, White Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Tower
Context triple: [Tsarskoye Selo, hasBuilding, White Tower]
  • A. White Tower
    The White Tower is a prominent Renaissance-era bell tower and landmark in the historic center of Hradec Králové in the Czech Republic.
  • B. White Tower
    The White Tower is the central Norman keep of the Tower of London, historically serving as a royal residence, fortress, and symbol of royal authority.
  • C. City of Dreaming Spires
    City of Dreaming Spires is a poetic nickname for Oxford, England, evoking its skyline of historic university towers and spires.
  • D. City of a Hundred Spires
    City of a Hundred Spires is a poetic nickname for Prague, highlighting its skyline filled with historic church towers and spires.
  • E. Red Tower
    Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: White Tower
Triple: [Tsarskoye Selo, hasBuilding, White Tower]
Generated description
The White Tower is a historic neo-Gothic tower and former imperial leisure pavilion located within the palace-and-park ensemble of Tsarskoye Selo near St. Petersburg, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: White Tower
Target entity description: The White Tower is a historic neo-Gothic tower and former imperial leisure pavilion located within the palace-and-park ensemble of Tsarskoye Selo near St. Petersburg, Russia.
  • A. White Tower
    The White Tower is a prominent Renaissance-era bell tower and landmark in the historic center of Hradec Králové in the Czech Republic.
  • B. White Tower
    The White Tower is the central Norman keep of the Tower of London, historically serving as a royal residence, fortress, and symbol of royal authority.
  • C. City of Dreaming Spires
    City of Dreaming Spires is a poetic nickname for Oxford, England, evoking its skyline of historic university towers and spires.
  • D. City of a Hundred Spires
    City of a Hundred Spires is a poetic nickname for Prague, highlighting its skyline filled with historic church towers and spires.
  • E. Red Tower
    Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
  • F. None of above. chosen

Provenance (5 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bfc4248190af320471688c60f0 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b236039b148190ab581709cfcfcd01 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b239d78e808190b53d2ba93ed0e667 completed March 12, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69b23a4598e481908fc64c5c0bf46427 completed March 12, 2026, 4 a.m.
Created at: March 8, 2026, 3:06 p.m.