Triple
T2420164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Basin |
E53399
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cudahy
Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
|
E266617
|
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: Cudahy | Statement: [Los Angeles Basin, contains, Cudahy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cudahy Context triple: [Los Angeles Basin, contains, Cudahy]
-
A.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
B.
Calumet Heights
Calumet Heights is a primarily residential neighborhood located on the South Side of Chicago, known for its stable middle-class character and well-kept homes.
-
C.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
D.
Kenosha
Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
-
E.
Lattrop
Lattrop is a small village in the Dutch province of Overijssel, known as the birthplace of the 19th-century painter Johan Barthold Jongkind.
- 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: Cudahy Triple: [Los Angeles Basin, contains, Cudahy]
Generated description
Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cudahy Target entity description: Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
-
A.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
B.
Calumet Heights
Calumet Heights is a primarily residential neighborhood located on the South Side of Chicago, known for its stable middle-class character and well-kept homes.
-
C.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
D.
Kenosha
Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
-
E.
Lattrop
Lattrop is a small village in the Dutch province of Overijssel, known as the birthplace of the 19th-century painter Johan Barthold Jongkind.
- 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.