Triple
T3625152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corona, California |
E76819
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Dos Lagos
Dos Lagos is a mixed-use residential, retail, and entertainment neighborhood and lifestyle center located in the city of Corona, California.
|
E372662
|
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: Dos Lagos | Statement: [Corona, California, hasNeighborhood, Dos Lagos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dos Lagos Context triple: [Corona, California, hasNeighborhood, Dos Lagos]
-
A.
Lomati
Lomati is a small village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
-
B.
Puerto Pilcomayo
Puerto Pilcomayo is a small river port settlement in northern Argentina located on the banks of the Paraguay River, serving as a local hub for cross-border trade and transport.
-
C.
Salto
Salto is a major city in northwestern Uruguay known for its hot springs, agriculture, and position as a key regional center near the Argentine border.
-
D.
Chilecito
Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
-
E.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
- 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: Dos Lagos Triple: [Corona, California, hasNeighborhood, Dos Lagos]
Generated description
Dos Lagos is a mixed-use residential, retail, and entertainment neighborhood and lifestyle center located in the city of Corona, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dos Lagos Target entity description: Dos Lagos is a mixed-use residential, retail, and entertainment neighborhood and lifestyle center located in the city of Corona, California.
-
A.
Lomati
Lomati is a small village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
-
B.
Puerto Pilcomayo
Puerto Pilcomayo is a small river port settlement in northern Argentina located on the banks of the Paraguay River, serving as a local hub for cross-border trade and transport.
-
C.
Salto
Salto is a major city in northwestern Uruguay known for its hot springs, agriculture, and position as a key regional center near the Argentine border.
-
D.
Chilecito
Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
-
E.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dae7a48190809d4455b2349aaa |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4332260cc8190964a15bfee0a3b61 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b435af0f688190ac82dccd487747af |
completed | March 13, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43620aee48190953a413ece0d51fa |
completed | March 13, 2026, 4:06 p.m. |
Created at: March 8, 2026, 3:23 p.m.