Triple
T10328255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lorenzo Valley |
E242815
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | San Lorenzo River |
E501102
|
NE FINISHED |
How this triple was built (2 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: San Lorenzo River | Statement: [San Lorenzo Valley, hasRiver, San Lorenzo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Lorenzo River Context triple: [San Lorenzo Valley, hasRiver, San Lorenzo River]
-
A.
San Lorenzo River
chosen
The San Lorenzo River is a coastal river in central California that flows through the city of Santa Cruz into the Monterey Bay.
-
B.
Bermejo River
The Bermejo River is a major South American waterway flowing through Bolivia and Argentina before joining the Paraguay River and ultimately contributing to the Río de la Plata basin.
-
C.
Río San Lorenzo
Río San Lorenzo is a river in northwestern Mexico that flows through arid landscapes before emptying into the Gulf of California.
-
D.
San Jorge River
The San Jorge River is a significant waterway in northern Colombia that drains the lowland wetlands between the Magdalena and Cauca rivers and supports important agricultural and fishing communities.
-
E.
Matanza River
The Matanza River is a heavily polluted waterway in the Buenos Aires metropolitan area of Argentina, flowing through densely populated and industrial zones before emptying into the Río de la Plata.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 6, 2026, 11:52 a.m.