Triple

T118185
Position Surface form Disambiguated ID Type / Status
Subject Nice E2387 entity
Predicate annexedToFrance P960 FINISHED
Object 1860 LITERAL 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: 1860 | Statement: [Nice, annexedToFrance, 1860]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: annexedToFrance
Context triple: [Nice, annexedToFrance, 1860]
  • A. countryOccupied
    Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
  • B. unificationDate
    Indicates the date on which two or more previously separate entities were formally unified into a single entity.
  • C. annexedBy chosen
    Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
  • D. territorialChange
    Indicates a change in control or ownership of geographic territory from one entity to another, often as a result of political, legal, or military events.
  • E. countryLiberated
    Indicates that one country has freed another country from occupation, control, or oppression, restoring its independence or autonomy.
  • F. None of above.

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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a25646d5088190a057989c32da3a90 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.