Triple
T26035222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Ignacio Lagoon |
E647532
|
entity |
| Predicate | receivesGrayWhalesFrom |
P4382
|
FINISHED |
| Object | Bering Sea |
—
|
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: Bering Sea | Statement: [San Ignacio Lagoon, receivesGrayWhalesFrom, Bering Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesGrayWhalesFrom Context triple: [San Ignacio Lagoon, receivesGrayWhalesFrom, Bering Sea]
-
A.
receivesIcebergsFrom
Indicates that one entity is the source or destination in a process where it obtains or is supplied with icebergs from another entity.
-
B.
whaleSpeciesObserved
Indicates that a particular species of whale has been observed or recorded in a given context or location.
-
C.
baleenColor
Indicates the color characteristic of an organism’s baleen.
-
D.
toothedOrBaleen
Indicates whether an animal possesses teeth or baleen as its primary oral feeding structure.
-
E.
receives
chosen
Indicates that one entity is the recipient of something (such as an object, message, or action) from another 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 9:07 a.m.