Triple
T2418510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorado |
E52362
|
entity |
| Predicate | hasBarrio |
P4813
|
FINISHED |
| Object |
Santa Rosa
Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
|
E288881
|
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: Santa Rosa | Statement: [Dorado, hasBarrio, Santa Rosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa Context triple: [Dorado, hasBarrio, Santa Rosa]
-
A.
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
B.
Gilroy
Gilroy is a city in Santa Clara County, California, known for its garlic production and as the southern endpoint of Caltrain commuter rail service.
-
C.
San Rafael
San Rafael is a city in the North Bay region of the San Francisco Bay Area in California, known for its historic downtown and role as a cultural and economic hub of Marin County.
-
D.
San Rafael
San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
-
E.
San Luis Obispo
San Luis Obispo is a small coastal city in California known for its historic downtown, nearby beaches and wineries, and its location along the scenic Highway 1 between Los Angeles and San Francisco.
- 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: Santa Rosa Triple: [Dorado, hasBarrio, Santa Rosa]
Generated description
Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa Target entity description: Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
-
A.
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
B.
Gilroy
Gilroy is a city in Santa Clara County, California, known for its garlic production and as the southern endpoint of Caltrain commuter rail service.
-
C.
San Rafael
San Rafael is a city in the North Bay region of the San Francisco Bay Area in California, known for its historic downtown and role as a cultural and economic hub of Marin County.
-
D.
San Rafael
San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
-
E.
San Luis Obispo
San Luis Obispo is a small coastal city in California known for its historic downtown, nearby beaches and wineries, and its location along the scenic Highway 1 between Los Angeles and San Francisco.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0d942048190bc5c715faa850632 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa04046cc81908876e639d2144d8f |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa180fadc8190b376687c8afb1748 |
completed | March 10, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa2172bc881908e17ab0eb3f9bb08 |
completed | March 10, 2026, 4:46 a.m. |
Created at: March 6, 2026, 9:42 p.m.