Triple

T4515860
Position Surface form Disambiguated ID Type / Status
Subject French India E102150 entity
Predicate lostMostTerritoriesToBritainBy P57139 FINISHED
Object 1763 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: 1763 | Statement: [French India, lostMostTerritoriesToBritainBy, 1763]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lostMostTerritoriesToBritainBy
Context triple: [French India, lostMostTerritoriesToBritainBy, 1763]
  • A. imperialPossessions
    Indicates that one entity holds colonial or territorial control over another as part of its empire.
  • B. regionAllocatedToBritain
    Indicates that a specific geographic region has been designated or assigned to Britain’s control or authority.
  • C. lostContinentalTerritory
    Indicates that one entity has lost control over part or all of its mainland territorial holdings to another entity or as a result of some event.
  • D. lostSovereigntyIn
    Indicates that an entity ceased to possess or exercise sovereign authority within a specified place or domain.
  • E. broughtUnderBritishCrown
    Indicates that an entity was placed under the authority, control, or sovereignty of the British Crown.
  • F. None of above. chosen

Provenance (4 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5726983c8190bca116eeee54241c completed March 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69bd521abea48190b3e758a1f98dd55e completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56b3e4c88190a7ade3d0ed0ab606 completed March 20, 2026, 2:16 p.m.
Created at: March 20, 2026, 1:02 p.m.