Triple
T37354363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love It or List It Vancouver |
E927412
|
entity |
| Predicate | decisionTheme |
P2165
|
FINISHED |
| Object | stay or move |
—
|
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: stay or move | Statement: [Love It or List It Vancouver, decisionTheme, stay or move]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionTheme Context triple: [Love It or List It Vancouver, decisionTheme, stay or move]
-
A.
decisionType
chosen
Indicates the specific category or nature of a decision associated with an entity or event.
-
B.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
C.
decisionLanguage
Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
-
D.
decisionStyle
Indicates the characteristic way an entity approaches, processes, and makes decisions in a given context.
-
E.
decisionScope
Indicates the range or domain within which a particular decision is valid, applicable, or has authority.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.