Triple
T2420168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Basin |
E53399
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Carson
Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
|
E266619
|
NE FINISHED |
How this triple was built (4 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: Carson | Statement: [Los Angeles Basin, contains, Carson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carson Context triple: [Los Angeles Basin, contains, Carson]
-
A.
Carson
Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
-
B.
Chandler
Chandler is an English occupational surname historically given to people who made or sold candles.
-
C.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
-
D.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
-
E.
Carrington
Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carson Triple: [Los Angeles Basin, contains, Carson]
Generated description
Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carson Target entity description: Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
-
A.
Carson
Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
-
B.
Chandler
Chandler is an English occupational surname historically given to people who made or sold candles.
-
C.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
-
D.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
-
E.
Carrington
Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
- F. None of above. chosen
Provenance (5 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96f97e08190978b2d873ab88859 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf57b0708190bf4d38c51e02309f |
completed | March 9, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69aec495e4e88190a1b9929161aba193 |
completed | March 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec570ec88819089a2afc42aec1088 |
completed | March 9, 2026, 1:04 p.m. |
Created at: March 6, 2026, 9:42 p.m.