Triple
T23135020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamogawa |
E577288
|
entity |
| Predicate | hasSeaWorldFeature |
P151049
|
FINISHED |
| Object | dolphin shows |
—
|
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: dolphin shows | Statement: [Kamogawa, hasSeaWorldFeature, dolphin shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaWorldFeature Context triple: [Kamogawa, hasSeaWorldFeature, dolphin shows]
-
A.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
B.
hasWaterCoaster
Indicates that an entity features or includes a water-based roller coaster attraction.
-
C.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
-
D.
isBoardwalkAttraction
Indicates that one entity is an attraction or point of interest located on or directly associated with a boardwalk.
-
E.
locatedInThemeParkType
Indicates that an entity is situated within or belongs to a specific type or category of theme park.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8ab9b08190969984f8c4494b0f |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.