Triple
T13029215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willowbrook, California, United States |
E326386
|
entity |
| Predicate | withinStatisticalArea |
P105946
|
FINISHED |
| Object | Los Angeles–Long Beach–Anaheim metropolitan statistical area |
E19132
|
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–Long Beach–Anaheim metropolitan statistical area | Statement: [Willowbrook, California, United States, withinStatisticalArea, Los Angeles–Long Beach–Anaheim metropolitan statistical area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles–Long Beach–Anaheim metropolitan statistical area Context triple: [Willowbrook, California, United States, withinStatisticalArea, Los Angeles–Long Beach–Anaheim metropolitan statistical area]
-
A.
Riverside–San Bernardino–Ontario metropolitan area
The Riverside–San Bernardino–Ontario metropolitan area, often called the Inland Empire, is a major Southern California region known for its rapidly growing population, extensive logistics and warehousing industry, and role as a key inland hub east of Los Angeles.
-
B.
Greater Los Angeles Area
chosen
The Greater Los Angeles Area is a vast Southern California metropolitan region centered on Los Angeles, encompassing numerous surrounding cities and suburbs and forming one of the largest urban agglomerations in the United States.
-
C.
Oxnard–Thousand Oaks–Ventura metropolitan area
The Oxnard–Thousand Oaks–Ventura metropolitan area is a Southern California coastal metropolitan region in Ventura County that includes the cities of Oxnard, Thousand Oaks, and Ventura.
-
D.
Burbank–Los Angeles area
The Burbank–Los Angeles area is a region in Southern California encompassing the city of Burbank and parts of Los Angeles, known for its major media studios, entertainment industry facilities, and proximity to Hollywood.
-
E.
San Diego metropolitan area
The San Diego metropolitan area is a major Southern California urban region centered on the city of San Diego, known for its coastal location, military presence, biotechnology industry, and proximity to the U.S.–Mexico border.
- 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: withinStatisticalArea Context triple: [Willowbrook, California, United States, withinStatisticalArea, Los Angeles–Long Beach–Anaheim metropolitan statistical area]
-
A.
statisticalAreaOf
chosen
Indicates that one entity is the designated statistical area or region associated with, containing, or characterizing another entity for statistical or demographic purposes.
-
B.
statisticalAreaClassification
Indicates how an area is categorized based on statistical criteria, such as population, density, or other quantitative measures, for analysis or reporting purposes.
-
C.
combinedStatisticalArea
Indicates that two or more adjacent metropolitan or micropolitan areas are grouped together into a larger combined statistical region based on significant economic and social integration.
-
D.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
E.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efd18308190877b3269403b36e2 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e269c18481908e0b46c298a946ca |
completed | May 3, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:54 p.m.