Triple
T8780001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churaumi Aquarium |
E208700
|
entity |
| Predicate | KuroshioSeaTankContains |
P85338
|
FINISHED |
| Object | whale shark |
—
|
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: whale shark | Statement: [Churaumi Aquarium, KuroshioSeaTankContains, whale shark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KuroshioSeaTankContains Context triple: [Churaumi Aquarium, KuroshioSeaTankContains, whale shark]
-
A.
endSea
Indicates that something marks the boundary or termination point of a sea or sea area.
-
B.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
-
C.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
D.
oceanCrossingTsunami
Indicates a tsunami event that travels across an ocean basin from its origin to distant shores.
-
E.
flowsIntoSeaArm
Indicates that a body of water (such as a river or stream) discharges its flow into a sea arm (a bay, fjord, or similar inlet of the sea).
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f548aa48190b2e73f292758e361 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:42 p.m.