Triple
T1310643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern County |
E27981
|
entity |
| Predicate | containsUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
|
E153018
|
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: Lamont | Statement: [Kern County, containsUnincorporatedCommunity, Lamont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamont Context triple: [Kern County, containsUnincorporatedCommunity, Lamont]
-
A.
Vermont-Slauson
Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
-
B.
Tilden
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
-
C.
Chisholm
Chisholm is a residential suburb located in the Maitland region of New South Wales, Australia.
-
D.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
E.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, 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: Lamont Triple: [Kern County, containsUnincorporatedCommunity, Lamont]
Generated description
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamont Target entity description: Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
-
A.
Vermont-Slauson
Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
-
B.
Tilden
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
-
C.
Chisholm
Chisholm is a residential suburb located in the Maitland region of New South Wales, Australia.
-
D.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
E.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc6255b808190823bc240365ed304 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc684fb34819097fbb1659032d3c2 |
completed | March 8, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc6ec853c8190b60bd2d876605c48 |
completed | March 8, 2026, 12:46 a.m. |
Created at: March 1, 2026, 7:51 p.m.