Triple
T821451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amur River |
E17754
|
entity |
| Predicate | habitatFor |
P6481
|
FINISHED |
| Object | kaluga sturgeon |
E98188
|
NE 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: kaluga sturgeon | Statement: [Amur River, habitatFor, kaluga sturgeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kaluga sturgeon Context triple: [Amur River, habitatFor, kaluga sturgeon]
-
A.
Amur sturgeon
chosen
The Amur sturgeon is a large, long-lived freshwater fish native to the Amur River basin in East Asia, valued for its caviar and threatened by overfishing and habitat degradation.
-
B.
Gadus aeglefinus
Gadus aeglefinus is the haddock, a North Atlantic marine fish widely used in traditional smoked and fried dishes.
-
C.
Chinook salmon
Chinook salmon is a large, anadromous Pacific salmon species prized for its ecological importance, commercial value, and rich, flavorful flesh.
-
D.
Alewife
Alewife is a major subway station and transit hub in North Cambridge, Massachusetts, serving as the northern endpoint of Boston’s MBTA Red Line and a large park-and-ride facility.
-
E.
Nile tilapia
Nile tilapia is a widely farmed freshwater fish species native to African river systems, known for its fast growth, adaptability, and importance in global aquaculture and local fisheries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab7aea38819092a0860ec6e2a033 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7928f8a808190aaf5f2a2f3ee676f |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.