Triple
T169517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquarium Kaiyukan |
E3087
|
entity |
| Predicate | mainTankInhabitants |
P965
|
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: [Aquarium Kaiyukan, mainTankInhabitants, whale shark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTankInhabitants Context triple: [Aquarium Kaiyukan, mainTankInhabitants, whale shark]
-
A.
notableSpecies
chosen
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
C.
notableDomesticatedSpecies
Indicates that the subject is a species that is particularly well-known or significant as a domesticated animal.
-
D.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
E.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b6f4f88190b1264bbbeb19a29e |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25665f5b8819096ca3e084faf976e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.