Triple
T2762182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café Guerbois circle |
E61245
|
entity |
| Predicate | socialType |
P42990
|
FINISHED |
| Object | bohemian circle |
—
|
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: bohemian circle | Statement: [Café Guerbois circle, socialType, bohemian circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialType Context triple: [Café Guerbois circle, socialType, bohemian circle]
-
A.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
-
B.
socialBase
Indicates a foundational social relationship or structure that underlies or supports interactions between entities.
-
C.
socialFeature
Indicates that one entity provides or participates in a social interaction capability or function involving other entities.
-
D.
socialCustom
Indicates a culturally shared, customary way of behaving or interacting that is expected or considered appropriate within a particular social group or context.
-
E.
socialSystem
Indicates a relationship where entities are organized into a structured set of social roles, norms, and interactions that govern their collective behavior.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.