Triple

T9623141
Position Surface form Disambiguated ID Type / Status
Subject Polignac ministry E232392 entity
Predicate seatOfGovernment P761 FINISHED
Object Tuileries Palace E33658 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: Tuileries Palace | Statement: [Polignac ministry, seatOfGovernment, Tuileries Palace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuileries Palace
Context triple: [Polignac ministry, seatOfGovernment, Tuileries Palace]
  • A. Tuileries Palace chosen
    The Tuileries Palace was a former royal and imperial residence in Paris that served as a central seat of French power until its destruction in the 19th century.
  • B. Les Tuileries
    Les Tuileries is a residential locality within the municipality of Thônex in the canton of Geneva, Switzerland.
  • C. Tuileries Garden
    The Tuileries Garden is a historic formal public park in central Paris, stretching between the Louvre Museum and Place de la Concorde and known for its elegant landscaping, statues, and promenades.
  • D. Louvre Palace
    The Louvre Palace is a historic former royal residence in Paris that now forms part of the world-famous Louvre Museum complex.
  • E. Jardin du Luxembourg
    Jardin du Luxembourg is a famous public park in Paris known for its formal gardens, statues, fountains, and the central pond where children sail model boats.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797386d88190bc1d9309ecc1b4fb completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:10 p.m.