Triple
T38584663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Steamvault |
E932318
|
entity |
| Predicate | hasWaterThemedEncounters |
P106010
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Steamvault, hasWaterThemedEncounters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterThemedEncounters Context triple: [The Steamvault, hasWaterThemedEncounters, true]
-
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.
hasWaterRelatedActivity
chosen
Indicates that an entity engages in, offers, or is associated with an activity involving water (e.g., swimming, boating, or other water-based actions).
-
D.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
E.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:32 p.m.