Triple
T28434303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Submarine Voyage (Disneyland attraction) |
E715218
|
entity |
| Predicate | areaRetained |
P66139
|
FINISHED |
| Object | submarine lagoon |
—
|
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: submarine lagoon | Statement: [Submarine Voyage (Disneyland attraction), areaRetained, submarine lagoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRetained Context triple: [Submarine Voyage (Disneyland attraction), areaRetained, submarine lagoon]
-
A.
areaReducedBy
Indicates that the area of one entity has been decreased by a specified amount or proportion due to the influence or action of another entity or factor.
-
B.
coveredArea
chosen
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
C.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
D.
areaRestoredBy
Indicates that a specified area has been returned to a previous or improved condition through the actions or interventions of a particular agent or process.
-
E.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:41 a.m.