Triple
T12050426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEGOLAND Discovery Centres |
E286899
|
entity |
| Predicate | experienceDuration |
P102959
|
FINISHED |
| Object | half-day visit typical |
—
|
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: half-day visit typical | Statement: [LEGOLAND Discovery Centres, experienceDuration, half-day visit typical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experienceDuration Context triple: [LEGOLAND Discovery Centres, experienceDuration, half-day visit typical]
-
A.
experienceType
Indicates the specific kind or category of experience associated with an entity or event.
-
B.
experienceIncludes
Indicates that a particular experience encompasses, contains, or involves a specified component, activity, or element as part of it.
-
C.
typeOfExperience
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
D.
settingOfExperience
Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
-
E.
experienceStyle
Indicates that one entity has or is associated with a particular manner, approach, or style in which an experience is delivered or undergone.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.