Triple

T11616188
Position Surface form Disambiguated ID Type / Status
Subject Uniacke E275514 entity
Predicate hasNotableNamesakeType P100615 FINISHED
Object 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: settlement | Statement: [Uniacke, hasNotableNamesakeType, settlement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableNamesakeType
Context triple: [Uniacke, hasNotableNamesakeType, settlement]
  • A. hasNamesakeNotability
    Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
  • B. hasFamousNamesake
    Indicates that an entity shares its name with another well-known or notable entity.
  • C. hasNotableType
    Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
  • D. hasNotableToponym
    Indicates that an entity is associated with a place name that is particularly notable, distinctive, or significant.
  • E. hasNotablePeople
    Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
PDg Predicate description generation batch_69d87f2e67108190ac36bf47aac12fa8 completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:38 p.m.