Triple
T3729941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Croix-Rousse |
E79036
|
entity |
| Predicate | hasDemography |
P7875
|
FINISHED |
| Object | mixed working-class and middle-class population |
—
|
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: mixed working-class and middle-class population | Statement: [La Croix-Rousse, hasDemography, mixed working-class and middle-class population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemography Context triple: [La Croix-Rousse, hasDemography, mixed working-class and middle-class population]
-
A.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
C.
demographicsNote
Indicates that there is an associated note or commentary describing demographic-related information about an entity.
-
D.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
E.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb1bb5408190990ea4dfbdab5c68 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.