Triple

T3902024
Position Surface form Disambiguated ID Type / Status
Subject Philipsburg Manor E90515 entity
Predicate interpretationFocus P44616 FINISHED
Object colonial New York history 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: colonial New York history | Statement: [Philipsburg Manor, interpretationFocus, colonial New York history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interpretationFocus
Context triple: [Philipsburg Manor, interpretationFocus, colonial New York history]
  • A. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • B. commentaryFocus
    Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
  • C. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. primaryInterpretation chosen
    Indicates that one interpretation of an entity, expression, or signal is designated as its main or most significant meaning among possible alternatives.
  • E. depictionFocus
    Indicates that a depiction (such as an image or illustration) is primarily focused on or centered around a particular entity or subject.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75b5b808190a348a31b1325d3d0 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:21 p.m.