Triple

T7278338
Position Surface form Disambiguated ID Type / Status
Subject France v. United Kingdom (1953) E163085 entity
Predicate methodOfSettlement P76197 FINISHED
Object judicial settlement 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: judicial settlement | Statement: [France v. United Kingdom (1953), methodOfSettlement, judicial settlement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: methodOfSettlement
Context triple: [France v. United Kingdom (1953), methodOfSettlement, judicial settlement]
  • A. settlementMode
    Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
  • B. settlementType
    Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
  • C. typeOfSettlement
    Indicates the specific category or classification of a settlement (e.g., city, town, village) that characterizes what kind of settlement it is.
  • D. settlementPattern
    Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
  • E. settlementSystem
    Indicates a relationship where a settlement is organized, governed, or structured according to a particular administrative or territorial system.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76a84a081908d4184c55b728e48 completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6eb88a2648190acc79eeee8733705 completed March 27, 2026, 8:41 p.m.
Created at: March 27, 2026, 2:59 p.m.