Triple

T3385047
Position Surface form Disambiguated ID Type / Status
Subject Quaker State E71279 entity
Predicate hasHistoricalConnotation P1409 FINISHED
Object early Quaker settlement in Pennsylvania 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: early Quaker settlement in Pennsylvania | Statement: [Quaker State, hasHistoricalConnotation, early Quaker settlement in Pennsylvania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalConnotation
Context triple: [Quaker State, hasHistoricalConnotation, early Quaker settlement in Pennsylvania]
  • A. hasHistoricalContext chosen
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • B. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or context.
  • C. historicallyConsidered
    Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
  • D. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • E. hasHistoriographicalUse
    Indicates that something is used or cited within historical writing or analysis as part of constructing, interpreting, or debating historical narratives.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.