Triple
T18069782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuni River |
E432393
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Rio Nutria
Rio Nutria is a stream in the U.S. Southwest that feeds into the Zuni River within the Colorado River basin.
|
E1304055
|
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: Rio Nutria | Statement: [Zuni River, hasTributary, Rio Nutria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Nutria Context triple: [Zuni River, hasTributary, Rio Nutria]
-
A.
Rio Oso
Rio Oso is a small unincorporated community in Northern California known for its rural agricultural setting within the Sacramento Valley.
-
B.
Guabiruba
Guabiruba is a municipality in the Brazilian state of Santa Catarina, known for its strong German cultural heritage and location in the Itajaí Valley region.
-
C.
Rio Negrinho
Rio Negrinho is a municipality in the northern region of Santa Catarina, Brazil, known for its timber industry and railway heritage.
-
D.
Tucurú
Tucurú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its rural setting and agricultural activities.
-
E.
Ypacaraí
Ypacaraí is a Paraguayan city known for its scenic lake, cultural festivals, and traditional music, particularly the famous song "Recuerdos de Ypacaraí."
- 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: Rio Nutria Triple: [Zuni River, hasTributary, Rio Nutria]
Generated description
Rio Nutria is a stream in the U.S. Southwest that feeds into the Zuni River within the Colorado River basin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rio Nutria Target entity description: Rio Nutria is a stream in the U.S. Southwest that feeds into the Zuni River within the Colorado River basin.
-
A.
Rio Oso
Rio Oso is a small unincorporated community in Northern California known for its rural agricultural setting within the Sacramento Valley.
-
B.
Guabiruba
Guabiruba is a municipality in the Brazilian state of Santa Catarina, known for its strong German cultural heritage and location in the Itajaí Valley region.
-
C.
Rio Negrinho
Rio Negrinho is a municipality in the northern region of Santa Catarina, Brazil, known for its timber industry and railway heritage.
-
D.
Tucurú
Tucurú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its rural setting and agricultural activities.
-
E.
Ypacaraí
Ypacaraí is a Paraguayan city known for its scenic lake, cultural festivals, and traditional music, particularly the famous song "Recuerdos de Ypacaraí."
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cced29fc81908e87b4f1990fa0d8 |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0356748f848190bb4c263355edf07f |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03581a400c819091bbad0a45b482a0 |
completed | May 12, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03590c44b8819099bbce039ddec07c |
completed | May 12, 2026, 4:45 p.m. |
Created at: April 10, 2026, 10:26 a.m.