Triple
T914144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chubut River |
E19729
|
entity |
| Predicate | dischargeAverage |
P22889
|
FINISHED |
| Object | approximately 60 m³/s |
—
|
LITERAL 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: approximately 60 m³/s | Statement: [Chubut River, dischargeAverage, approximately 60 m³/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dischargeAverage Context triple: [Chubut River, dischargeAverage, approximately 60 m³/s]
-
A.
dischargeRank
Indicates the rank or status an individual held at the time they were discharged from a role, service, or organization.
-
B.
dischargeRanking
Indicates the relative level or position of an entity in an ordered list based on the amount or rate of discharge (such as emissions, effluents, or released substances).
-
C.
hasDischarge
Indicates that one entity releases, emits, or expels a substance, energy, or flow from itself.
-
D.
dischargeLocation
Indicates the place or facility where an entity (such as a person, object, or substance) is released, sent, or discharged to after a prior state or process.
-
E.
dischargeRankInNorthAmerica
Indicates the relative ranking of an entity based on its discharge (e.g., flow or output) compared to others within North America.
- F. None of above. chosen
Provenance (4 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b67499708190a65f24d1fd7e4ec5 |
completed | March 1, 2026, 9:58 p.m. |
Created at: March 1, 2026, 7:39 p.m.