Triple
T8468110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles County jail system |
E200213
|
entity |
| Predicate | holdsPopulationType |
P5947
|
FINISHED |
| Object | pretrial detainees |
—
|
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: pretrial detainees | Statement: [Los Angeles County jail system, holdsPopulationType, pretrial detainees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsPopulationType Context triple: [Los Angeles County jail system, holdsPopulationType, pretrial detainees]
-
A.
hasPopulationType
chosen
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
B.
hadPopulationType
Indicates that an entity possessed a particular classification or type of population during a given time or context.
-
C.
hostedPopulationType
Indicates the type or category of population that is accommodated or supported by a given host entity.
-
D.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
E.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d445f48190884df64bb1aebd41 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.