Triple
T11472925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pit Bulls & Parolees |
E271953
|
entity |
| Predicate | previousSetting |
P18609
|
FINISHED |
| Object | Los Angeles County, California |
E23731
|
NE FINISHED |
How this triple was built (3 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: Los Angeles County, California | Statement: [Pit Bulls & Parolees, previousSetting, Los Angeles County, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles County, California Context triple: [Pit Bulls & Parolees, previousSetting, Los Angeles County, California]
-
A.
Los Angeles County
chosen
Los Angeles County is the most populous county in the United States, encompassing the city of Los Angeles and numerous other municipalities across Southern California.
-
B.
Orange County, California
Orange County, California is a populous coastal county in Southern California known for its affluent suburbs, beaches, and attractions like Disneyland.
-
C.
Riverside County
Riverside County is a large, populous county in inland Southern California known for its desert landscapes, fast-growing suburban communities, and cities such as Riverside and Palm Springs.
-
D.
San Diego County
San Diego County is a large coastal county in Southern California known for the city of San Diego, its beaches, military presence, and proximity to the Mexican border.
-
E.
Orange County
Orange County is a county in southeastern New York State, known for its mix of suburban communities, historic sites, and rural landscapes within the Hudson Valley region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSetting Context triple: [Pit Bulls & Parolees, previousSetting, Los Angeles County, California]
-
A.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
B.
previousConfigurationLocation
Indicates the location where an entity’s earlier or prior configuration was stored or situated.
-
C.
previousHome
chosen
Indicates that one entity served as a former or prior residence or home of another entity.
-
D.
formerlyConfiguration
Indicates that one entity was previously configured or arranged in the state or setup represented by the other entity, but is no longer so.
-
E.
previousAbility
Indicates that an entity possessed a particular ability or capability at an earlier time or in a prior state.
- F. None of above.
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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e684e29a6c8190910b1c6f717d6c5e |
completed | April 20, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.