Triple
T13847237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenai River |
E332838
|
entity |
| Predicate | recordWeight |
P68393
|
FINISHED |
| Object | 97.25 pounds for Chinook salmon |
—
|
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: 97.25 pounds for Chinook salmon | Statement: [Kenai River, recordWeight, 97.25 pounds for Chinook salmon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordWeight Context triple: [Kenai River, recordWeight, 97.25 pounds for Chinook salmon]
-
A.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
B.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
weighInLocation
chosen
Indicates that an entity’s weight is measured or recorded at a specific location.
-
E.
weightIssue
Indicates that there is a problem, concern, or abnormal condition related to the weight of an entity.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.