Triple
T20329554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Douglas |
E492436
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rio Conchos |
—
|
NE NERFINISHED |
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: Rio Conchos | Statement: [Gordon Douglas, notableWork, Rio Conchos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Conchos Context triple: [Gordon Douglas, notableWork, Rio Conchos]
-
A.
Rio Conchos
chosen
Rio Conchos is a major river in northern Mexico that significantly contributes to the flow of the Rio Grande and supports agriculture and communities in the Chihuahuan Desert region.
-
B.
Río Sonora
Río Sonora is a river in northwestern Mexico that flows through the state of Sonora before emptying into the Gulf of California.
-
C.
Rio Verde Grande
Rio Verde Grande is a significant river in eastern Brazil that drains parts of Minas Gerais and Bahia before joining the São Francisco River.
-
D.
Rio Verde
Rio Verde is a major agricultural and commercial city in the Brazilian state of Goiás, known for its grain production and agribusiness industries.
-
E.
Rio Verde
Rio Verde is a river in the Brazilian Amazon region, noted for its remote, dense jungle surroundings and association with early 20th-century exploration quests such as those recounted in "The Lost City of Z."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e6f5d08190bedf376bbb999ebc |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.