Triple
T4480589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Park, Los Angeles |
E100119
|
entity |
| Predicate | demographicsCurrent |
P2263
|
FINISHED |
| Object | Latino majority 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: Latino majority population | Statement: [Jefferson Park, Los Angeles, demographicsCurrent, Latino majority population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicsCurrent Context triple: [Jefferson Park, Los Angeles, demographicsCurrent, Latino majority population]
-
A.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
B.
currentPopulation
Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
-
C.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
-
D.
demographicsLabel
chosen
Indicates the categorical demographic group or segment that an entity is associated with or classified under.
-
E.
demographicsNote
Indicates that there is an associated note or commentary describing demographic-related information about an entity.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:36 p.m.