Triple
T7483890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomorrowland |
E176829
|
entity |
| Predicate | introducedInPark |
P76503
|
FINISHED |
| Object | Disneyland Park in 1955 |
—
|
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: Disneyland Park in 1955 | Statement: [Tomorrowland, introducedInPark, Disneyland Park in 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInPark Context triple: [Tomorrowland, introducedInPark, Disneyland Park in 1955]
-
A.
openedInPark
Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
-
B.
originalParkOpeningRelation
Indicates the relationship between a park and the event or date of its initial public opening.
-
C.
establishedAsPark
Indicates that an area or site has been officially designated and recognized as a park.
-
D.
originalParkName
Indicates the relationship where a park is associated with its original or former official name.
-
E.
reintroducedInYear
Indicates that an entity, previously absent or discontinued, was brought back or reinstated in a specified year.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.