Triple
T36950092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matanza River |
E914035
|
entity |
| Predicate | isMajorUrbanRiverOf |
P39399
|
FINISHED |
| Object | Buenos Aires metropolitan area |
—
|
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: Buenos Aires metropolitan area | Statement: [Matanza River, isMajorUrbanRiverOf, Buenos Aires metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorUrbanRiverOf Context triple: [Matanza River, isMajorUrbanRiverOf, Buenos Aires metropolitan area]
-
A.
isUrbanRiverOf
chosen
Indicates that a river flows through or is located within an urban area associated with a specified place or city.
-
B.
isMajorRiver
Indicates that a river is classified as a major or significant river, typically based on factors like length, discharge, or geographic importance.
-
C.
hasMajorCityOnRiver
Indicates that a major city is located on and directly associated with a particular river.
-
D.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
-
E.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
- F. None of above.
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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:13 p.m.