Triple
T11241340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Windows of the World |
E266079
|
entity |
| Predicate | hasSocialThemes |
P38895
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Windows of the World, hasSocialThemes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialThemes Context triple: [The Windows of the World, hasSocialThemes, yes]
-
A.
hasSocialDimension
chosen
Indicates that the relationship, attribute, or phenomenon involves social aspects, interactions, or implications among individuals or groups.
-
B.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
C.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
D.
hasSocialPractice
Indicates that one entity engages in, follows, or is characterized by a particular social practice or customary pattern of social behavior.
-
E.
hasSocialEngagement
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.